An imaging system for a vehicle includes an imaging device having a field of view exteriorly and forward of the vehicle in its direction of travel, and an image processor operable to process the captured images in accordance with an algorithm. The algorithm comprises a sign recognition routine and a character recognition routine. The image processor processes the image data captured by the imaging device to detect signs in the field of view of the imaging device and applies the sign recognition routine to determine a sign type of the detected sign. The image processor is operable to apply the character recognition routine to the image data to determine information on the detected sign. The image processor applies the character recognition routine to the captured images in response to an output of the sign recognition routine being indicative of the detected sign being a sign type of interest.

Imaging system for vehicle

A forward-facing vision system for a vehicle includes a forward-facing camera disposed in a windshield electronics module attached at a windshield of the vehicle and viewing through the windshield. A control includes a processor that, responsive to processing of captured image data, detects taillights of leading vehicles during nighttime conditions and, responsive to processing of captured image data, detects lane markers on a road being traveled by the vehicle. The control, responsive to lane marker detection and a determination that the vehicle is drifting out of a traffic lane, may control a steering system of the vehicle to mitigate such drifting, with the steering system manually controllable by a driver of the vehicle irrespective of control by the control. The processor, based at least in part on detection of lane markers via processing of captured image data, determines curvature of the road being traveled by the vehicle.

Vision system for vehicle

A vehicular vision system includes a camera having a lens and a CMOS photosensor array having a plurality of photosensor elements. The camera is disposed at an interior portion of a vehicle equipped with the vehicular vision system. The camera one of (i) views exterior of the equipped vehicle through the windshield of the equipped vehicle and forward of the equipped vehicle and (ii) views from the windshield of the equipped vehicle into the interior cabin of the equipped vehicle. A control includes an image processor that processes image data captured by the photosensor array. The image processor processes captured image data to detect an object viewed by the camera. The photosensor array is operable at a plurality of exposure periods and at least one exposure period of the plurality of exposure periods is dynamically variable.

Vehicular vision system

A system and method for automatically providing content associated with captured information is described. In some examples, the system receives input by a user, and automatically provides content or links to content associated with the input. In some examples, the system receives input via text entry or by capturing text from a rendered document, such as a printed document, an object, an audio stream, and so on.

Automatically providing content associated with captured information, such as information captured in real-time

A device for capturing rendered text is described. The device incorporates one or more visual sensors that receive visual information as a part of capturing rendered text. The visual sensors are collectively capable of capturing both text that is permanently printed on a page, and text that is displayed transitorily on a dynamic device. The device further incorporates a visual information disposition subsystem for disposing of visual information received by the visual sensors. The device further incorporates a package that bears the visual sensors and the visual information disposition subsystem, and is suitable to be held in a human hand.

Handheld device for capturing text from both a document printed on paper and a document displayed on a dynamic display device

File image processing method and equipment

A word recognizing apparatus extracts the feature amount from a given image, and dynamically composes the feature amount of a candidate word to be recognized which is registered in a word list, using feature amounts of characters registered in an individual character dictionary. Then, the apparatus collates the composed feature amount of the word with the feature amount extracted from the image, calculates the degree of similarity between the two feature amounts, and outputs a recognition result.

Word recognizing apparatus for dynamically generating feature amount of word and method thereof

The present invention relates to a method and apparatus for processing a scanned image. The method for processing a scanned image comprises: a shaded region extracting step of extracting a region, which is shaded by a shading object and lies in a margin in the vicinity of an edge of the scanned image, as a shaded region; and a pixel value repairing step of repairing values of pixels, which lie both in a line segment and the shaded region, by using a linear model according to known values of pixels, which lie both in the line segment and the margin, the line segment passing through the shaded region and being parallel to the edge.

Method and apparatus for processing scanned image

The invention discloses a method and equipment for processing images. The method comprises the following steps of: extracting grid lines from all the images, and fitting all the extracted grid lines to a real number two-dimensional space; aligning the grid lines extracted from all the images with a grid line template to determine a corresponding relationship between fitting table cells enclosed by the fitted grid lines and template table cells of the grid line template; according to affine transformation among all corresponding table cells, reflecting all pixels in the template table cells to real number positions in the real number two-dimensional space; according to pixel values of a plurality of pixels, which are positioned adjacent to the real number positions, in the images, generating a pixel value which is used as the pixel values of the pixels in the template table cells corresponding to the real number positions; generating a composite image corresponding to the images by combining the grid lines of the grid line template with the pixels, which have the generated pixel values, in the template table cells; and acquiring a table cell template according to the composite image corresponding to the plurality of images.

Method and equipment for processing images

There provides an apparatus for and a method of generating a classifier for detecting a specific object in an image. The apparatus for generating a classifier for detecting a specific object in an image includes: a region dividing section for dividing, from a sample image, at least one square region having a side length equal to or shorter than the length of shorter side of the sample image; a feature extracting section for extracting an image feature from at least a part of the square regions divided by the region dividing section; and a training section for performing training based on the extracted image feature to generate a classifier. By using the apparatus for and method of generating the classifier, it becomes possible to make full use of recognizable regions of objects to be recognized with variable aspect ratios and improve speed and accuracy for recognizing in complex backgrounds.

Naoi Satoshi

Papers

File image processing method and equipment

Word recognizing apparatus for dynamically generating feature amount of word and method thereof

Method and apparatus for processing scanned image

Method and equipment for processing images

Apparatus for and method of generating classifier for detecting specific object in image