7260 results about "Image area" patented technology

A recognition object detecting portion detects a recognition object existing in each of images which are captured in series at different time points by a camera. Images of the detected recognition object are stored in a memory. A recognition object condition judging portion determines whether image areas of the recognition object are recognizable. A movement amount detecting portion detects a movement amount of the recognition object by using the image areas of the recognition object stored in the memory. A sub-area detecting portion detects a sub-area to be recognized, by using the image areas of the recognition object read out from the memory, in accordance with the movement amount of the recognition object. A recognition portion performs recognition processing on the sub-areas. A recognition result integration portion integrates recognition results of the sub-areas including recognized characters and / or recognized patterns and the corresponding reliabilities, respectively.

A frame of still picture data is captured at an instant specified by a user from video signals supplied from a given video source, such as a television receiver, a video camera, etc., and the image data is displayed. When the user specifies an area of image to be cut out from the displayed still picture, the image data in the specified area is cut out and recorded as a cutout image. Each cutout image recorded is displayed in the form of an icon. When any of the icons is selected by the user, the corresponding cutout image data is read and pasted in a part to be changed in the original image data. Thus an image can be easily created by user's choice.

A user interface (90) comprises an image area that is divided into a plurality of views for viewing corresponding 2-dimensional and 3-dimensional images of an anatomical region. Tool control panes (95-101) can be simultaneously opened and accessible. The segmentation pane (98) enables automatic segmentation of components of a displayed image within a user-specified intensity range or based on a predetermined intensity

This invention comprises a method and system for displaying free-space, full color, high-resolution video or still images while simultaneously enabling the user to have real-time direct interaction with the visual images. The system comprises a self-generating means for creating a dynamic, non-solid particle cloud by ejecting atomized condensate present in the surrounding air, in a controlled fashion, into an invisible particle cloud. A projection system consisting of an image generating means and projection optics, projects an image onto the particle cloud. Any physical intrusion, occurring spatially within the image region, is captured by a detection system and the intrusion information is used to enable real-time user interaction in updating the image. This input / output (I / O) interface provides a display and computer link, permitting the user to select, translate and manipulate free-space floating visual information beyond the physical constraints of the device creating the image.

A capturing unit captures and digitizes a printed image having an electronic watermark embedded therein and a lattice pattern image. A profile creation unit detects position deviations of intersections in the lattice pattern images captured at respective different zoom magnifications, generates correction information on distortion occurring in the images, and registers the correction information into a profile database in association with the zoom magnifications. An image correction unit selects correction information corresponding to a zoom magnification employed at the time of capturing of the printed image from the profile database, and corrects distortion occurring in the captured image of the printed image. An image area determination unit determines an original image area in the distortion-corrected captured image. A watermark extraction unit extracts watermark information from the original image area in the distortion-corrected captured image.

There are provided methods and apparatus for context dependent merging for SKIP / DIRECT modes for video encoding and decoding. An apparatus includes an encoder for joint coding partitions of an image region using frame partitioning and a partition merging procedure, wherein any given one of the partitions that use a coding mode with implicit coding rules is subject to being merged, with another one of the partitions, using a distinct merging rule different than that used for a coding mode with explicit coding rules.

An apparatus, method for detecting critical areas and a pedestrian detection apparatus using the same are provided. An application of the pedestrian detection system is provided to help limit critical urban environment to particular areas. Contrary to traditional pedestrian detection systems that localize every pedestrians appearing in front of the subject vehicle, the apparatus first finds critical areas from urban environment and performs a focused search of pedestrians. The environment is reconstructed using a standard laser scanner but the subsequent checking for the presence of pedestrians is performed by incorporating a vision system. The apparatus identifies pedestrians within substantially limited image areas and results in boosts of timing performance, since no evaluation of critical degrees is necessary until an actual pedestrian is informed to the driver or onboard computer.

An image processing apparatus includes an image input unit that inputs a two-dimensional image signal, a depth information output unit that inputs or generates depth information of image areas constituting the two-dimensional image signal, an image conversion unit that receives the image signal and the depth information from the image input unit and the depth information output unit, and generates and outputs a left eye image and a right eye image for realizing binocular stereoscopic vision, and an image output unit that outputs the left and right eye images. The image conversion unit extracts a spatial feature value of the input image signal, and performs an image conversion process including an emphasis process applying the feature value and the depth information with respect to the input image signal, thereby generating at least one of the left eye image and the right eye image.

There is provided a control device for an in-vehicle electronic apparatus. The control device includes: a manipulation input element that has a manipulation input region having a predetermined area; an imaging device that has a photographing range covering the manipulation input region, and that captures an image including a hand image region representative of the hand; a hand image region identification section that identifies the hand image region in the image; an area ratio calculation section that calculates a value of hand image area ratio, which is area ratio of the hand image region to the manipulation input region; and an operation input information generation section that generates and outputs operation input information based on the calculated value of the hand image area ratio and a manipulation state of the manipulation input region, the operation input information being directed to the in-vehicle electronic apparatus.

The present invention detects a moving object by generating the distance information of the moving object, detecting the object motion, determining the object distance, detecting the object image area and the object contour from the video image that includes the object image and contour, and provides a moving object detection apparatus to carry out such detection as well as detecting a contour of the specific moving object by detecting the center of the moving object in high precision.

A frame of still picture data is captured at an instant specified by a user from video signals supplied from a given video source, such as a television receiver, a video camera, etc., and the image data is displayed. When the user specifies an area of image to be cut out from the displayed still picture, the image data in the specified area is cut out and recorded as a cutout image. Each cutout image recorded is displayed in the form of an icon. When any of the icons is selected by the user, the corresponding cutout image data is read and pasted in a part to be changed in the original image data. Thus an image can be easily created by user's choice.

After identification of an image or image area where correction is to be effected for red-eye defects, and identification of eye regions within the image or the image area, color data from the area is provided, collected or analyzed according to color channel information. The color channel information may be defined for specific or collections of wavelength values or color content values, usually with at least two channels, up to four or more color channels used to carry all of the information (and with digital images, pixel information) for each color. By using color channel information, local color content information can be readily accessed and evaluated, and after the exact nature or degree of a red-eye effect is determined from evaluation of the color channel information, the data may be readily corrected by a number of different techniques. Templates of colors and / or templates for features (such as glint, pigmentation, or artistic features) may be added to identified regions to be corrected for red-eye

A method of generating one or more new digital images using an original digitally-acquired image including a selected image feature includes identifying within a digital image acquisition device one or more groups of pixels that correspond to the selected image feature based on information from one or more preview images. A portion of the original image is selected that includes the one or more groups of pixels. The technique includes automatically generating values of pixels of one or more new images based on the selected portion in a manner which includes the selected image feature within the one or more new images.

Video communication systems and methods for operating the same are provided with the method determining privacy settings for a video communication event; establishing a video communication link with a video communication system at a remote site; capturing video images of a field of view of at least one image capture device; determining a video context based at least in part upon a determined contextual classification for the communication event; analyzing the captured video images to identify privacy sensitive areas in the captured video images, using a scene analysis algorithm which examines a content of the video images and image context characteristics of the video images based upon the determined privacy settings; modifying the image characteristics in identified privacy sensitive image areas of captured video images, to control the image and image context characteristics to an extent consistent with the determined privacy settings; and transmitting the modified video images.

A system and method for determining and correcting for imaging device motion during an exposure is provided. According to various embodiments of the present invention, multiple sets of image pixels are defined on an image sensor, where each set of pixels is at least partially contained in the output image area of the image sensor. Signals from each set of image pixels are read out once or more during an exposure, motion estimates are computed using signal readouts from one or more sets of image pixels, and signal readouts from one or more sets of the image pixels are processed to form the final output image.

An apparatus, method for detecting critical areas and a pedestrian detection apparatus using the same are provided. An application of the pedestrian detection system is provided to help limit critical urban environment to particular areas. Contrary to traditional pedestrian detection systems that localize every pedestrians appearing in front of the subject vehicle, the apparatus first finds critical areas from urban environment and performs a focused search of pedestrians. The environment is reconstructed using a standard laser scanner but the subsequent checking for the presence of pedestrians is performed by incorporating a vision system. The apparatus identifies pedestrians within substantially limited image areas and results in boosts of timing performance, since no evaluation of critical degrees is necessary until an actual pedestrian is informed to the driver or onboard computer.

Classification of image regions comprises: recursively partitioning an image into a tree of image regions having the image as a tree root and at least one image patch in each leaf image region of the tree, the tree having nodes defined by the image regions and edges defined by pairs of nodes connected by edges of the tree; assigning unary classification potentials to nodes of the tree; assigning pairwise classification potentials to edges of the tree; and labeling the image regions of the tree of image regions based on optimizing an objective function comprising an aggregation of the unary classification potentials and the pairwise classification potentials.

A method, apparatus and computer program product are provided to permit improve gesture recognition based on fusion of different types of sensor signals. In the context of a method, a series of image frames and a sequence of radar signals are received. The method determines an evaluation score for the series of image frames that is indicative of a gesture. This determination of the evaluation score may be based on the motion blocks in an image area and the shift of the motion blocks between image frames. The method also determines an evaluation score for the sequence of radar signals that is indicative of the gesture. This determination of the evaluation score may be based upon the sign distribution in the sequence and the intensity distribution in the sequence. The method weighs each of the evaluation scores and fuses the evaluation scores, following the weighting, to identify the gesture.

Multiple streams of data are streamed to a user's terminal with images from different cameras. Low resolution thumbnail images tell the user what image streams are available. A focus stream provides high resolution images from a selected camera. A user can switch the focus stream to another stream by clicking on the associated thumbnail. The users can also be provided with a thumbnail of panoramic image. Other data streams sent to the user can contain (a) audio data, (b) interactivity markup data which describes regions of the image which provide interactivity opportunities such as hotspots, (c) presentation markup data which defines how data is presented on the user's screen, (d) a telemetry data stream which can be used for various statistical data. One data stream contains a low quality base image for each data stream which can be enhanced to form a high resolution focus image.

The present invention relates to a pattern defect inspection method and apparatus that reveal ultramicroscopic defects on an inspection target in which ultramicroscopic circuit patterns are formed, and inspect the defects with high sensitivity and at a high speed. The present invention provides a pattern inspection apparatus for comparing the images of corresponding areas of two formed patterns that should be identical with each other, and judging any mismatched image area as a defect. The pattern inspection apparatus includes means for performing an image comparison process on a plurality of areas in a parallel manner. Further, the pattern inspection apparatus also includes means for converting the gradation of the image signals of compared images in each of a plurality of different processes. Therefore, the present invention can properly detect defects even if the same patterns of compared images differ in brightness.

A method is described for determining a region-of-interest (ROI) for a client device on the basis of at least one HEVC-tiled (panorama) video stream wherein the method comprises: receiving a ROI video stream for rendering a first ROI defining a first sub-region within the full image region of said HEVC-tiled video stream, the positions of HEVC tiles in said HEVC-tiled panorama video being defined by tile position information; providing ROI position information associated with at least one video frame of said ROI video stream, said ROI position information comprising at least first position of said first ROI; identifying one or more HEVC tiles of said HEVC-tiled video stream on the basis of said ROI position information and said tile position information, preferably one or more HEVC tiles that overlap with said first ROI; and, requesting video data associated with said one or more identified HEVC tiles for rendering a second ROI defining a second sub-region within the full image region of said HEVC-tiled video stream.

A parallel array architecture for a graphics processor includes a multithreaded core array including a plurality of processing clusters, each processing cluster including at least one processing core operable to execute a pixel shader program that generates pixel data from coverage data; a rasterizer configured to generate coverage data for each of a plurality of pixels; and pixel distribution logic configured to deliver the coverage data from the rasterizer to one of the processing clusters in the multithreaded core array. The pixel distribution logic selects one of the processing clusters to which the coverage data for a first pixel is delivered based at least in part on a location of the first pixel within an image area. The processing clusters can be mapped directly to the frame buffers partitions without a crossbar so that pixel data is delivered directly from the processing cluster to the appropriate frame buffer partitions. Alternatively, a crossbar coupled to each of the processing clusters is configured to deliver pixel data from the processing clusters to a frame buffer having a plurality of partitions. The crossbar is configured such that pixel data generated by any one of the processing clusters is deliverable to any one of the frame buffer partitions.

An added information encoding part repeatedly arranges two kinds of copy inhibition code arrays of the unit two-dimensional arrays to which copy inhibition codes are assigned, and condition code arrays of the unit two-dimensional arrays to which codes for removing the copy inhibition are assigned, into a two-dimensional array according to given rules. A background image formation part generates a background image in which copy inhibition pattern image areas and condition pattern image areas are repeatedly and two-dimensionally arranged according to given rules, while referring to this array, and the pattern images corresponding to respective codes stored in the background image formation part, and stores the generated background image into a background image buffer. An image composing part reads out document images from a document image buffer, and the background image from the background image buffer, and superimposes them into a composite image.

An image display apparatus comprises a face plate including a common electrode extending in an outside of an image region along a one side of the image region, n first resistor members connected to the common electrode and connected to each of anodes in the divisional regions corresponding thereto, and a second resistor member connecting between one and the other of the first resistor members. R1 is an average resistance value of each first resistor member per length of one pixel including at least one of the light emitting members. R1all is a resistance value of each first resistor member for a total length in the image region. R2 is a resistance value of the second resistor member. And, a relationship of 0.1×R1<R2<R1all is met.

A system provides a single composite image including multiple medical images of a portion of patient anatomy acquired using corresponding multiple different types of imaging device. A display processor generates data representing a single composite display image including, a first image area showing a first image of a portion of patient anatomy acquired using a first type of imaging device, a second image area showing a second image of the portion of patient anatomy acquired using a second type of imaging device different to the first type. The first and second image areas include first and second markers respectively. The first and second markers identify an estimated location of the same corresponding anatomical position in the portion of patient anatomy in the first and second images respectively. A user interface enables a user to move at least one of, (a) the first marker in the first image and (b) the second marker in the second image, to correct the estimated location so the first and second markers identify the same corresponding anatomical position in the portion of patient anatomy.