Abstract: Methods, systems, and devices for providing computer implemented services are disclosed. To provide the computer implemented services, an identification of a startup of a data processing system may be made. Based on the identification, a determination may be made regarding whether a device is present in an expansion slot of the data processing system. If the device is present, then another determination may be made regarding whether identification information is able to be obtained from the device. If obtained, the identification information may be interpreted to obtain communication link bifurcation settings for the device. Default communication link training settings may then be updated based on the bifurcation settings to obtain updated training settings. Communication link training may then be initiated for a communication link using the updated training settings.

Abstract: A method of speeding up image detection, adapted to increase a speed of detecting a target image and enhance efficiency of image detection, comprises the steps of capturing an image; retrieving a plurality of characteristic points of the image; creating a region of interest (ROI) centered at the characteristic points each; creating a plurality of search point scan windows corresponding to the ROIs, respectively; calculating target hit scores of the characteristic points and the search point scan windows; comparing the target hit scores of the characteristic points and the search point scan windows to obtain an ROI most likely to have a target image; calculating centroid coordinates of the ROI by a centroid shift weight equation; and narrowing a scope of ROI search according to a location of the centroid coordinates and reducing a displacement between the search points.

Abstract: A method of speeding up image detection, adapted to increase a speed of detecting a target image and enhance efficiency of image detection, comprises the steps of capturing an image; retrieving a plurality of characteristic points of the image; creating a region of interest (ROI) centered at the characteristic points each; creating a plurality of search point scan windows corresponding to the ROIs, respectively; calculating target hit scores of the characteristic points and the search point scan windows; comparing the target hit scores of the characteristic points and the search point scan windows to obtain an ROI most likely to have a target image; calculating centroid coordinates of the ROI by a centroid shift weight equation; and narrowing a scope of ROI search according to a location of the centroid coordinates and reducing a displacement between the search points.

Abstract: An active device array substrate includes a substrate, first signal lines, second signal lines, pixel units, selection units, an insulating layer, and a driving unit. The second signal lines and the selection lines are electrically connected with the driving unit. The insulating layer is disposed among the first signal lines, the second signal lines and the selection lines and has contact holes. The contact holes are disposed corresponding to the first signal lines, and a portion of the selection lines are electrically connected with the first signal lines via the contact holes. The selection line corresponding to the contact hole the farthest from the driving unit and the closest to a reference axis of the substrate and the selection line corresponding to the contact hole the closest to the driving unit and the reference axis respectively receive a start signal and a terminal signal provided by the driving unit.

Abstract: A display apparatus comprises a plurality of display panels and a time controller electrically coupled to each of the display panels respectively. The time controller is configured for sending out at least two priority control signals to each of the display panels according to an image data, to select at least one of the display panels to displaying the image data.

Abstract: An active device array substrate includes a substrate, first signal lines, second signal lines, pixel units, selection units, an insulating layer, and a driving unit. The second signal lines and the selection lines are electrically connected with the driving unit. The insulating layer is disposed among he first signal lines, the second signal lines and the selection lines and has contact holes. The contact holes are disposed corresponding to the first signal lines, and a portion of the selection lines are electrically connected with the first signal lines via the contact holes. The selection line corresponding to the contact hole the farthest from the driving unit and the closest to a reference axis of the substrate and the selection line corresponding to the contact hole the closest to the driving unit and the reference axis respectively receive a start signal and a terminal signal provided by the driving unit.

Abstract: A method, a system, and a computer program product for object color correction are provided. Two images of the same target provided by two image capturing devices are introduced into an image conversion model constructed by an image conversion algorithm, and a color coefficient and a luminance coefficient for color space conversion are found, so as to convert the two images to a target color space. Then, the two images in the target color space are introduced into an image color distribution space model constructed by the image conversion algorithm, so as to obtain two different image color distribution space principal axes. The two image color distribution space principal axes are compared and adjusted to be parallel, thereby adjusting a color difference between the two images. The two images that are adjusted are converted back to an original color space, so as to obtain the two corrected images.

Abstract: Disclosed herein are a display, a source driver of the display and a method for driving the same. The source driver includes a determining unit. The determining unit is configured to temporarily store data in response to a latch enable signal, to output a plurality of digital data values continuous in time sequence, and to sequentially convert a first digital data value and a second digital data value of the digital data values to a first analog signal and a second analog signal, respectively, and to compare the first digital data value with the second digital data value. When the first digital data value and the second digital data value are the same, the determining unit continuously outputs the first analog signal and the second analog signal.

Abstract: A display apparatus comprises a plurality of display panels and a time controller electrically coupled to each of the display panels respectively. The time controller is configured for sending out at least two priority control signals to each of the display panels according to an image data, to select at least one of the display panels to displaying the image data.

Abstract: A method, a system, and a computer program product for object color correction are provided. Two images of the same target provided by two image capturing devices are introduced into an image conversion model constructed by an image conversion algorithm, and a color coefficient and a luminance coefficient for color space conversion are found, so as to convert the two images to a target color space. Then, the two images in the target color space are introduced into an image color distribution space model constructed by the image conversion algorithm, so as to obtain two different image color distribution space principal axes. The two image color distribution space principal axes are compared and adjusted to be parallel, thereby adjusting a color difference between the two images. The two images that are adjusted are converted back to an original color space, so as to obtain the two corrected images.

Abstract: A color electrophoretic display and a display method thereof are provided. First, three primary color display data is generated according to a color image data, and whether or not to display a color image is determined. When it is determined not to display the color image, the three primary color display data is converted into gray display data according to a gray gamut look up table to display a gray picture on the electrophoretic display. When it is determined to display the color image, the color gamut of the three primary color display data is adjusted according to a color gamut look up table to display a color picture on the electrophoretic display.

Abstract: In order to improve pattern recognition, various kinds of transformations are performed on an input object. One or more recognition algorithms are then performed on the input object transforms in addition to the input object itself. By performing recognition algorithms on an input object and its transforms, a more comprehensive set of recognition results are generated. A final recognition decision is based upon an input object and its transforms by aggregating the recognition results.

Abstract: The present invention relates to methods and systems for an illuminant compensation. In particular, these methods and systems include a method for operations on an image, for example, an image of a human face. In the described methods and systems, it is determined for each pixel in the image whether it is part of the face region. A surface fitting is then determined based on only the pixels that are determined to be part of the face region. Also, described are methods and systems for image normalization wherein the standard deviation and average for the gray levels of the pixels are determined and then used to normalize the image so that the gray level for each of the pixels falls between a particular range.

Abstract: A system and a method for rapidly tracking multiple faces uses a face-like region generator to find a face-like region by skin color, motion, and silhouette information. A face tracking engine tracks faces based on new and old faces, and skin colors provided by the face-like regions. The tracked face is fed into a face status checker for determining whether the face-like regions are old faces tracked in a previous frame or are possible new faces. If the face-like regions are old faces, a face verification engine checks whether there exists a predefined percentage of overlapping area between an old face and a skin region. If yes, the old face is still in the current frame and its position is in the center of the skin region, otherwise, the position of the old face is found by a correlation operation.

Abstract: In order to improve pattern recognition, various kinds of transformations are performed on an input object. One or more recognition algorithms are then performed on the input object transforms in addition to the input object itself. By performing recognition algorithms on an input object and its transforms, a more comprehensive set of recognition results are generated. A final recognition decision is based upon an input object and its transforms by aggregating the recognition results.

Abstract: The present invention relates to methods and systems for an illuminant compensation. In particular, these methods and systems include a method for operations on an image, for example, an image of a human face. In the described methods and systems, it is determined for each pixel in the image whether it is part of the face region. A surface fitting is then determined based on only the pixels that are determined to be part of the face region. Also, described are methods and systems for image normalization wherein the standard deviation and average for the gray levels of the pixels are determined and then used to normalize the image so that the gray level for each of the pixels falls between a particular range.

Abstract: A system and a method for rapidly tacking multiple faces are disclosed. A face-like region generator finds a face-like region by skin color, motion, and silhouette information. A face tracking engine tracks faces based on new and old faces, and skin colors provided by the face-like regions. The tracked face is fed into a face status checker for determining whether the face-like regions are old faces tracked in a previous frame or are possible new faces. If the face-like regions are old faces, a face verification engine checks whether there exists a predefined percentage of overlapping area between an old face and a skin region. If yes, the old face is still in the current frame and its position is in the center of the skin region, otherwise, the position of the old face is found by a correlation operation.

Abstract: A method and apparatus for displaying a selected portion of a panoramic image onto a view plane is provided. The method provides an environment map in the form of a plurality of pixel values representative of the panoramic image. A first portion of the pixel values representative of a selected first area of the panoramic image is mapped to a projection buffer. A second portion of the first portion of pixel values, representative of a desired area of the panoramic image to be viewed is mapped to the view plane. The view plane is displayed on the display.

Abstract: A pair of images are stitched together by warping the pair of images into an environment map representative of a panoramic image. A first edge and a corresponding second edge for each of the first and second images, respectively, are detected. A set of edge position coordinates along the edge of the first warped image is determined. A set of possible matched solutions from the edge position coordinates of the first and second edge are generated. An optimum matched offset from the set of possible matched solutions is determined. Because the set of possible matched solutions is small and compact, the optimum matched offset can be determined efficiently from the set of solutions.