From the Publisher: 
The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

MUCKE aims to mine a large volume of images, to structure them conceptually and to use this conceptual structuring in order to improve large-scale image retrieval. The last decade witnessed important progress concerning low-level image representations. However, there are a number problems which need to be solved in order to unleash the full potential of image mining in applications. The central problem with low-level representations is the mismatch between them and the human interpretation of image content. This problem can be instantiated, for instance, by the incapability of existing descriptors to capture spatial relationships between the concepts represented or by their incapability to convey an explanation of why two images are similar in a content-based image retrieval framework. We start by assessing existing local descriptors for image classification and by proposing to use co-occurrence matrices to better capture spatial relationships in images. The main focus in MUCKE is on cleaning large scale Web image corpora and on proposing image representations which are closer to the human interpretation of images. Consequently, we introduce methods which tackle these two problems and compare results to state of the art methods. Note: some aspects of this deliverable are withheld at this time as they are pending review. Please contact the authors for a preview.

http://ieeexplore.ieee.org/iel2/4524/12820/00592460.pdf

Image Processing

A mobile terminal including a body; a touchscreen provided to a front and extending to side of the body and configured to display content; and a controller configured to detect one side of the body comes into contact with one side of an external terminal, display a first area on the touchscreen corresponding to a contact area of the body and the external terminal and a second area including the content, receive an input of moving the content displayed in the second area to the first area, display the content in the first area, and share the content in the first area with the external terminal.

Mobile terminal and method for controlling the same

An embodiment provides for enabling retrieval of a collection of captured images that form at least a portion of a library of images. For each image in the collection, a captured image may be analyzed to recognize information from image data contained in the captured image, and an index may be generated, where the index data is based on the recognized information. Using the index, functionality such as search and retrieval is enabled. Various recognition techniques, including those that use the face, clothing, apparel, and combinations of characteristics may be utilized. Recognition may be performed on, among other things, persons and text carried on objects.

System and method for enabling the use of captured images through recognition

A method is provided for modifying an image. The method comprises displaying an image, the image comprising a portion of an object; and determining if an edge of the object is in a location within the portion. The method further comprises detecting movement, in a member direction, of an operating member with respect to the edge. The method still further comprises moving, if the edge is not in the location, the object in an object direction corresponding to the detected movement; and modifying, if the edge is in the location, the image in response to the detected movement, the modified image comprising the edge in the location.

Information processing apparatus, information processing method and program

Most high dynamic range image (HDRI) algorithms assume stationary scene for registering multiple images which are taken under different exposure settings. In practice, however, there can be some global or local movements between images caused by either camera or object motions. This situation usually causes ghost artifacts which make the same object appear multiple times in the resultant HDRI. To solve this problem, most conventional algorithms conduct ghost detection procedures followed by ghost region filling with the estimated radiance values. However, usually these methods largely depend on the accuracy of the ghost detection results, and thus often suffer from color artifacts around the ghost regions. In this paper, we propose a new robust ghost-free HDRI generation algorithm that does not require accurate ghost detection and not suffer from the color artifact problem. To deal with the ghost problem, our algorithm utilizes the global intensity transfer functions obtained from joint probability density functions (pdfs) between different exposure images. Then, to estimate reliable radiance values, we employ a generalized weighted filtering technique using the global intensity transfer functions. Experimental results show that our method produces the state-of-the-art performance in generating ghost-free HDR images.

/pdf/ghost-free-high-dynamic-range-imaging-59u5dd18xh.pdf

Ghost-free high dynamic range imaging

Provided is a method and apparatus for controlling a user interface (UI) of an electronic device by using a specific region of a virtual plane. In the method, the virtual plane is initialized according to spatial coordinates of two or more images detected by using locations of the images displayed in an image display unit of a first image capture device and an image display unit of a second image capture device. Furthermore, the location of a marker is determined and is indicated by a specific image on the virtual plane. Furthermore, a screen pointer corresponding to the marker is displayed at a position where the marker is located in an image display unit corresponding to the virtual plane. Furthermore, a menu of the electronic device is selected which is pointed to by the screen pointer while moving the marker. Accordingly, a user can conveniently control the UI of the electronic device by performing a simple operation.

Method and apparatus for controlling user interface of electronic device using virtual plane

A method of category-based clustering of a digital photo album and a system thereof, the method includes: generating photo information by extracting at least one of camera information of a camera used to take a photo, photographing information, and a content-based feature value including at least one of color, texture, and shape feature values, and a speech feature value; generating a predetermined parameter including at least one of user preference indicating the personal preference of the user, photo semantic information generated by using the content-based feature value of the photo, and photo syntactic information generated by at least one of the camera information, the photographing information, and interaction with the user; generating photo group information categorizing photos by using the photo information and the parameter; and generating a photo album by using the photo information and the photo group information. According to the method and system, by using together user preference and content-based feature value information, such as color, texture, and shape, from the contents of photos, as well as information that can be basically obtained from photos, such as camera information and file information stored in a camera, a large volume of photos are effectively categorized such that an album can be fast and effectively generated with photo data.

Method and apparatus for category-based photo clustering in digital photo album

A face detection method based on a skin color and a pattern match A face detection method includes: detecting skin color pixels using color information of an image; calculating a proportion of the skin color pixels occupying each predetermined sub-window of the image; selecting ones of the predetermined sub-windows as face candidates when the proportions of the skin color pixels in the ones of the sub-windows are at least equal to a threshold value; and determining whether any of the face candidates is a face and storing a location of the face

Face detection method based on skin color and pattern match

A method and apparatus for tracking a color-based object in video sequences are provided. According to the method, an initial object area in one frame of video sequences desired to be tracked is assigned, and an initial object effective window containing the initial object area is assigned. A frame following the frame containing the assigned initial object area is received as a newly input image, and an object search window containing the initial object area for tracking and the initial object effective window in the newly input image is assigned. Then, the model histogram of the initial object area corresponding to a predetermined bin resolution value and the input histogram of the image in the object search window are calculated. From the calculated object probability image, using a predetermined method, a new object area to which the initial object area moved is obtained in the next frame in which the initial object area of the frame desired to be tracked is given as a previous (tracked) object area. By doing so, the object in video sequences is tracked. Accordingly, using the continuously extracted video object region information, an object-based interactive-type additional information service function in movies, TV programs, and CFs can be implemented effectively.

Young-Su Moon

Papers

Ghost-free high dynamic range imaging

Method and apparatus for controlling user interface of electronic device using virtual plane

Method and apparatus for category-based photo clustering in digital photo album

Face detection method based on skin color and pattern match

Method and apparatus for color-based object tracking in video sequences