Showing papers on "Image conversion published in 2011"

2D to 3D Image Conversion Based on Image Content

Abstract: A method for converting a 2D image into a 3D image includes receiving the 2D image; analyzing content of the received 2D image; determining a 2D-to-3D image conversion method based on a result of the content analysis; generating the 3D image by applying the determined method to the received 2D image; and providing the generated 3D image.

Geometric and texture cue based depth-map estimation for 2D to 3D image conversion

Abstract: We present a novel framework for estimating depth-map in a single 2D image. The proposed framework employs both vanishing point and superpixels as geometric and texture cues, respectively. The combination of both cues can generate a feasible perceptual depth-map, which will be applied to 2D to 3D image conversion.

Semi-automatic 2D to 3D image conversion using scale-space Random Walks and a graph cuts based depth prior

Abstract: In this paper, we present a semi-automated method for converting conventional 2D images into stereoscopic 3D. User-defined strokes corresponding to a rough estimate of the depth values in the scene are defined for the image of interest. With these, our system determines the depth values for the rest of the image, producing a depth map that can be used to create stereoscopic 3D image pairs. Our work is based on a similar scheme, using the Random Walks segmentation paradigm. However, the related work is quite complex, with many processing steps required to produce the final stereoscopic image pair. Combined with its evident shortcomings, but noting the merits, we propose a system employing Random Walks, while incorporating information from the popular Graph Cuts segmentation paradigm. Thus, a final cohesive depth map is produced, combining the merits of both. The results show that we can produce good quality stereoscopic image pairs, while using a much more simplified method in comparison to the related work.

Display system with image conversion mechanism and method of operation thereof

Abstract: A method of operation of a display system includes: calculating a focus measure for an original image; calculating a segment mean based on the focus measure for a segment; generating an ordered segment based on the segment mean; generating a segment depth based on the ordered segment; and generating a three-dimensional image with the segment depth for displaying on a device.

Photographing apparatus and photographing method

Abstract: A photographing apparatus includes an imaging device that converts light of an image into an electrical signal, an image conversion unit that converts the electrical signal into image data, a scene recognition unit that recognizes the type of a scene to be photographed by analyzing the image data, a display unit that displays scene information regarding the recognized scene, a user input unit that receives user input, and a condition setting unit that locks a shooting condition as a shooting mode corresponding to the recognized type of the scene for photographing, according to the user input received via the user input unit

Image conversion device

Abstract: Disclosed is an image conversion device which converts non-three dimensional image data into three-dimensional image data comprising left eye image data and right eye image data. The image conversion device comprises an input unit which inputs the non-three dimensional image, and a conversion unit which generates and outputs the left eye image data and the right eye image data based on the non-three dimensional image input by the input unit. When displaying the three-dimensional image consisting of a left eye image and a right eye image on a display device capable of displaying a three-dimensional image, the conversion unit generates the left-eye image data and the right eye image data such that the user perceives predetermined regions in a horizontal direction of the displayed three-dimensional image, in a vertical direction on a display surface of the display device, as positioned at a position farthest from the user, and perceives regions other than the predetermined regions as positioned increasingly closer to the user as said regions approach the left and right edges of the three-dimensional image.

Image connecting device, photographing device, image connecting method, and image processing program

Abstract: PROBLEM TO BE SOLVED: To generate a panoramic composite image having joint portions where mismatch of connection of images is less conspicuous.SOLUTION: A plurality of developed image data 152, obtained by continuously photographing with a photographing device moved along a horizontal plane so as to draw an arc, are input in an image conversion processing part 122 together with camera posture data 154. A plurality of spherical-surface projected image data 158 are generated at the image conversion processing part 122 by projecting each of two-dimensional images based on the plurality of developed image data 152 on a virtual spherical surface having a pole axis as a reference axis by using a processing parameter determined on the basis of the camera posture data 154. A motion vector 160 between images based on the plurality of spherical-surface projected image data 158 is derived by a motion vector computing part 124. Motion compensation between the images based on the plurality of spherical-surface projected image data 158 is performed in accordance with the motion vector 160, and necessary parts are extracted from the plurality of spherical-surface projected image data 158 and connected so as to generate a panoramic composite image 162.

Medical film printing system

Abstract: The utility model discloses a medical film printing system. The system comprises an ink-jet printer, a medical film and an image conversion server, wherein the image conversion server can receive image information transmitted by medical diagnosis image equipment and convert the image information into information data which can be identified by the ink-jet printer and is connected with the ink-jet printer; and the medical film is arranged in the ink-jet printer. The utility model has the advantages that: the medical film printing system can improve the definition and gray scale of an image and prolong the storage time of the image, and the image can be habituated and received by doctors.

Image conversion apparatus and display apparatus and methods using the same

Abstract: A method for converting an image in an image conversion apparatus is provided. The method includes receiving a stereo image, down-scaling the stereo image, performing stereo-matching by applying adaptive weight to the down-scaled stereo images, generating a depth map according to the stereo-matching, up-scaling the depth map by referring to an input image of original resolution, and generating a plurality of multi-view images by performing depth-image-based rendering with respect to the up-scaled depth map and the input image of original resolution. Accordingly, a plurality of multi-view images may be obtained with ease.

Image processing apparatus, image processing method, and program

Abstract: PROBLEM TO BE SOLVED: To prevent continuity of a subject from being damaged when developing an annular image generated by omnidirectional image capturing into a panorama image. SOLUTION: The image processing apparatus includes: a cut position determination unit determining a cut position at which an annular image is cut in a radial direction to maintain continuity of a subject in the annular image generated by an omnidirectional image capturing apparatus; and an image conversion unit converting the annular image into a long-rectangular-shaped panorama image by cutting the annular image at the cut position determined by the cut position determination unit and developing the cut annular image. COPYRIGHT: (C)2011,JPO&INPIT

Semi-automatic 2D to 3D image conversion using a hybrid Random Walks and graph cuts based approach

Abstract: In this paper, we present a semi-automated method for converting conventional 2D images to stereoscopic 3D. User-defined strokes that correspond to a rough estimate of the depth values in the scene are defined for the image of interest. With these strokes, our system thus determines what the depth values are for the rest of the image, producing a depth map that is ultimately used to create a stereoscopic image pair. Our work is based on a similar scheme which employs Random Walks. However, the related work is quite complex, with many processing steps required to produce the final stereoscopic image pair. Combined with the evident shortcomings of the related work, but noting the merits of Random Walks, we propose a system that is a hybrid between Random Walks, and the popular Graph Cuts segmentation paradigm. Both segmentation algorithms are used to generate a final cohesive depth map, thus combining the merits of both frameworks together. The generated results show that we can produce good quality stereoscopic image pairs, while using a much more simplified method in comparison to the related Random Walks scheme.

System and method for determining obstacle by using aerial view images

Abstract: The invention provides a system and a method for determining an obstacle by using aerial view images, relates to technology for determining the obstacle around a vehicle by aerial view image technology. A plurality of image acquisition devices which are arranged at different positions are used for acquiring a plurality of images around a vehicle body respectively, and the plurality of images are at least provided with an overlapping region; an image processor performs independent aerial view image conversion on the images; and an obstacle calculating unit compares the correlation of repeat regions of two independent aerial view images and judges whether the obstacle exists or not according to the size of the correlation. In addition, a mapping table of a group of space conversion data is constructed and comprises driving state data such as the steering wheel angle, gear or speed of the vehicle, and the like, so when the driving state is changed, a panoramic aerial view image at an appropriate viewing angle is quickly converted through the mapping table, and the position of the obstacle measured by the obstacle calculating unit is marked on the panoramic aerial view image; therefore, the safe driving of a user is facilitated.

Image Processing Apparatus, Image Conversion Method, and Program

Abstract: Disclosed is an image processing apparatus including: a determining unit that determines, based on parallax of a 3D main image including a left-eye main image and a right-eye main image, parallax of a sub-image overlapped with the 3D main image and determines a zoom-in/out ratio of the sub-image based on parallax of the corresponding sub-image; a magnification/reduction processing unit that magnifies or reduces the sub-image depending on the zoom-in/out ratio; a creating unit that creates a left-eye sub-image and a right-eye sub-image by shifting the sub-image in left and right directions based on the parallax of the sub-image; and a synthesizing unit that synthesizes, for each eye, the left-eye main image and the right-eye main image with the left-eye sub-image and the right-eye sub-image created by magnifying/reducing and shifting the sub-image in left and right directions.

Processing-target image generation device, processing-target image generation method and operation support system

Abstract: A processing-target image generation device generates a processing-target image which is an object to be subjected to an image conversion process for acquiring an output image based on an input image taken by an image-taking part. A coordinates correspondence part causes input coordinates, spatial coordinates, and projection coordinates to correspond to each other, the input coordinates being on an input image plane on which the input image is located, the spatial coordinates being on a space model on which the input image is projected, the projection coordinates being on a processing-target image plane on which the processing-target image is positioned and the image projected on the space model is re-projected.

2D to 3d image conversion based on classification of background depth profiles

Abstract: In this paper, a 2D to 3D stereo image conversion scheme is proposed for 3D content creation. The difficulty in this problem lies on depth estimation/assignment from a mono image, which actually does not have sufficient information. To estimate the depth map, we adopt a strategy of performing foreground/background separation first, then classifying a background depth profile by neural network, estimating foreground depth from image cues, and finally combining them. To enhance stereoscopic perception for the synthesized images viewed on 3D display, depth refinement based on bilateral filter and HVS-based contrast modification between the foreground and background are adopted. Subjective experiments show that the stereo images generated by using the proposed scheme can provide good 3D perception.

Imaging device, imaging system, and imaging method

Abstract: An imaging device includes: an image sensor that photoelectrically converts subject light to generate image signals; a storage portion that sets a second area within a first area so as to correspond to a specific area specified by a setting value for setting an extracting range of an image based on the image signals; a timing adjustment unit that adjusts the timing at which the image signals are read from the image sensor and written to the storage portion and the timing at which the image signals are read from the storage portion; an image conversion processor that performs predetermined processing on the image based on the image signals read from the image sensor; an output unit that converts processed image signals with continuous scanning timing into image signals of a predetermined format and outputs the image signals to a display unit.

Information processing apparatus and image display method

Abstract: A server device 10 includes a frame buffer 13 that stores the image; an encoder 14 e that compresses the image; a whole screen moving image conversion determination unit 14 m that detects, from the image, a moving image area to be compressed by using the encoder 14 e ; a screen generator 14 b that compresses the image such that image degradation is lower than that of the encoder 14 e ; a high frequency screen update area identifier 14 n that detects, from an area compressed by the encoder 14 e , a change area that has changed and calculates an accumulated change area by accumulating the change area; and a transmitter that transmits, to a client terminal 20 , a moving image by compressing the moving image area detected by the moving image area and the detected change area and an image of the accumulated change area that is compressed by the screen generator 14 b.

Device for detecting height of electronic product

Abstract: The utility model provides a device for detecting the height of an electronic product. The device for detecting the height of the electronic product comprises an image projection device and a detection correction device, wherein the detection correction device is fixed in front of the image projection device, and the image projection device comprises an image acquisition unit which is used for performing image acquisition on a product placed in the detection correction device, an image conversion unit for converting an acquired image to the image which is suitable for being displayed by a projection display unit, and the projection display unit which is used for performing real-time display on the image in the image conversion unit. The device for detecting the height of the electronic product has no risk of damaging the electronic product by pressing, and is low in cost, high-efficient in testing, directviewing in detection result and higher in detection precision.

Image conversion method suitable for image display device and computer product

Abstract: The invention relates to an image conversion method suitable for an image display device and a computer product, which comprises the following steps: firstly, acquiring a two-dimensional image and a depth map corresponding to the two-dimensional image, carrying out moving processing on the two-dimensional image by using the depth map and a plurality of yield values so as to obtain a plurality of moving maps; secondly, carrying out interpolation processing on each moving map to obtain each view graph corresponding to each of a plurality of view graphs, and finally, carrying out synthesis processing on the plurality of view graphs to obtain a three-dimensional image The image conversion method is beneficial to obtaining the three-dimensional image according to the two-dimensional image andthe depth image corresponding to the two-dimensional image

Performance Evaluation of Image Conversion Module Based on MapReduce for Transcoding and Transmoding in SMCCSE

Abstract: We presented the author's SMCCSE (Social Media Cloud Computing Service Environment) that supports the development and construction of Social Networking Service (SNS) based on large amounts of social media including audio, video and image in earlier publication. The main contributions of this paper are to present how to design and implement Map Reduce-based image conversion module for social media transcoding and transmoding that are the core functions in our SMCCSE as well as to verify performance evaluation results for image conversion module. In this paper, we show a partially functional image conversion module based on Hadoop in SMCCSE except for video and audio. Moreover, we discuss experimental results performed on a 28 node SMCCSE cluster under varying experimental conditions in order to verify the performance for image conversion function.

Image conversion apparatus and image conversion method

Abstract: According to one embodiment, an image conversion apparatus includes a 3D conversion instruction module, a determination module, and a converter. The 3D conversion instruction module is configured to instruct execution of a 3D conversion required to convert an input image into a 3D image. The determination module is configured to determine validity or invalidity of the 3D conversion instruction based on a type of the input image. The converter is configured to convert, based on validity determination of the 3D conversion instruction, the input image into the 3D image in response to the 3D conversion instruction.

Solar cell defect inspection apparatus, defect inspection method and program

Abstract: Provided are a solar cell defect inspection apparatus, defect inspection method and program, the defect inspection apparatus utilizing the excited luminescence phenomenon of a solar cell and not including a darkroom. A defect inspection apparatus (100) comprises: a power supply means (102) for applying a forward voltage to a solar cell (110) to be inspected , so that the solar cell (110) to be inspected may be excited to luminescence; an image pickup means (104) for picking up an image of the solar cell (110) to be inspected; an image processing means (108) for processing the image picked up by the image pickup means (104); and an output means (148) for outputting the image having been processed by the image processing means (108). The image pickup means (104) comprises: an optical filter (12) which transmits light having wavelengths near a wavelength band of light from the excited luminescence of the solar cell (110) to be inspected; a photoelectric image conversion element (13) which converts, into visible light, light having been transmitted by the optical filter (12); and an image pickup element (132) which forms an image on an imaging face by collecting visible light thereon, and thereby picks up an image of the solar cell (110) to be inspected when the solar cell (110) to be inspected is being excited to luminescence, the visible light being obtained as a result of conversion by the photoelectric image conversion element (13).

Vehicle rearview visual-recognition apparatus

Abstract: PROBLEM TO BE SOLVED: To provide a vehicle rearview visual-recognition apparatus which when a driver changes the orientation of a rearview mirror, is capable of effectively displaying for the driver an image of a region which becomes the dead angle of the mirror and which is easily overlooked, by changing an image to be displayed on an image display device according to the change.SOLUTION: The vehicle rearview visual-recognition apparatus is provided with: image acquisition means 11 which acquires captured image of the vehicle rearview; mirror angle acquisition means 12 which acquires angle information of the rearview mirror; image conversion means 13 which converts the image acquired by the image acquisition means, in accordance with the angle information acquired by the mirror angle acquisition means 12; and image output means 14 which outputs the converted image generated by the image conversion means 13 to display means 15 disposed at the rearview mirror. The image conversion means 13 converts the image acquired by the image acquisition means 11 to a dead angle image of the region which becomes a dead angle from the driver in accordance with angle setting of the rearview mirror.

Image conversion system using edge information

Abstract: In accordance with at least some embodiments of the present disclosure, a process for converting a two-dimensional (2D) image based on edge information is described. The process may include partitioning the 2D image to generate a plurality of blocks, segmenting the plurality of blocks into a group of regions based on edges determined in the plurality of blocks, assigning depth values to the plurality of blocks based on a depth gradient hypothesis associated with the group of regions, wherein pixels in each of the plurality of blocks are associated with a same depth value, and generating the depth map based on the depth values of the plurality of blocks.

Image matching device

Abstract: A feature-point matching unit calculates a first matching score between first and second biological patterns, based on: first and second feature-point data indicating first and second feature-point sets of first and second ridge patterns included in first and second images of first and second biological patterns respectively, and generates a corresponding feature-point list by extracting a corresponding feature-point set being a set of corresponding feature-points between the first and second feature point sets. A non-linear image conversion unit performs a first non-linear conversion making the first image approximate to the second based on the corresponding feature-point list. A feature point matching unit calculates a second matching score between the first and second biological patterns based on the first image after the first non-linear image conversion and the second. A high matching accuracy is achieved in fingerprint or palmprint matching using a low-quality image.

Electronic component mounting device and image reading method used by electronic component mounting device

Abstract: The objective of the present invention is to provide an electronic component mounting device and an image reading method used by the electronic component mounting device, such that the time required for reading images can be reduced by using image reading units having a simplified structure so as to eliminate restrictions which are caused by the array direction of line sensors and imposed upon the operations of mounting heads. The image reading units (6A, 6B) for reading images of electronic components held by the mounting heads (14A, 14B) are each configured to have a line sensor that is tilted at a placement angle with respect to a first direction; which mounting head (14A, 14B) should be assigned for a first-direction scanning operation or a second-direction scanning operation is selected on the basis of scanning operation selection conditions that have been set in advance; and in an image acquisition step for obtaining images from the image reading units (6A, 6B), image conversion processing is executed such that a two-dimensional image is generated by juxtaposing one-dimensional images which are obtained by transforming one-dimensional images output sequentially from the line sensors to the degree of the placement angle.

Two-dimensional image conversion system and method

Abstract: The invention relates to a two-dimensional image conversion method which comprises the following steps of: reading the image information of a two-dimensional image, wherein the image information comprises data format information, image size information and pixel value information; determining the data format of the two-dimensional image according to the data format information of the two-dimensional image, and determining the size of the two-dimensional image according to the image size information of the two-dimensional image; extracting the pixel value of each pixel of the two-dimensional image from the read pixel value information according to the data format and the size of the two-dimensional information, and determining the two-dimensional coordinates of each pixel; calculating the grey value of each pixel of the two-dimensional image according to the extracted pixel value; creating a three-dimensional grid; and coloring the created three-dimensional grid to complete the conversion from the two-dimensional image to the three-dimensional image The invention also provides a two-dimensional image conversion system The two-dimensional image conversion method and system can be used for converting different formats of two-dimensional images into three-dimensional images

Capturing device, capturing system and capturing method

Abstract: PROBLEM TO BE SOLVED: To enable an image at a local portion a user wants to particularly watch to be easily confirmed.SOLUTION: An image sensor 11 generates an image signal, and a control unit 14 generates a set value used to set a range for cutting an image from the image signal based on a first instruction input from a user. The generated set value is stored in a set value storage unit 15. Further, if a second instruction is input from the user, the set value is read out from the set value storage unit 15 such that an image conversion unit 13 cuts out a region specified by the set value from the image and enlarges the same. Then, an output unit 18 converts the image signal cut out and enlarged by the image conversion unit 13 into an image signal in a predetermined format to output the converted image signal.

Apparatus and method for matching colors between various image devices

Abstract: An apparatus for matching colors between various image devices includes a characterization model generation unit configured to generate characterization models for color conversion using gamut information on the image shooting device and the output imaging device; a color conversion unit configured to convert all colors corresponding to a gamut of the image shooting device into colors corresponding to a gamut of the output imaging device using the characterization models; a lookup table generation unit configured to generate a lookup table between the image shooting device and the output imaging device based on color conversion information of the colors corresponding to the gamut of the image shooting device; and an image conversion unit configured to generate an output image of the output imaging device, of which the colors are matched with those of the image inputted from the image shooting device, using the lookup table.

Vehicle circumference monitoring device and vehicle circumference monitoring method

Abstract: PROBLEM TO BE SOLVED: To provide a vehicle circumference monitoring device, capable of achieving high-accuracy obstacle detection at low cost.SOLUTION: The vehicle circumference monitoring device 100 is configured to perform image recognition to a captured image by an in-vehicle camera of a vehicle and detect an obstacle around the vehicle based on the consistency of shape between the captured image and a reference image obtained by imaging an obstacle by a different reference camera. The device includes an image conversion unit 140 which converts the captured image to an image approximated to a vision as viewed from a position corresponding to the point of view of the reference camera; and an image recognition unit 150 which performs image recognition to the converted captured image based on the reference image to detect the obstacle.