Abstract: Systems and methods for calibrating a force input device are disclosed. The force input device includes a force-sensitive structure with a number of individual force sensors that compress or expand in response to input. The force input device measures an electrical property of the force sensors of the force-sensitive structure. After the force sensors are measured, the values obtained are adjusted based on a mechanical model of the response of the force sensitive structure. Upon receiving a force input event of high magnitude, the force input device recalibrates the mechanical model.

Abstract: A text recognition system and method of operation thereof including: a storage unit for storing a text unit; and a processing unit, connected to the storage unit, the processing unit including: a communication interface for receiving the text unit, a feature detection module for determining an isolated feature of the text unit, an angle detection module for determining angle features of the text unit, a feature vector module for generating a feature vector for the text unit based on the isolated feature and the angle features, and a text recognition module for determining recognized text using the feature vector for display on a display interface.

Abstract: Image inpainting is controlled in response to a structure analysis and recovery process for a missing object region. Structure edges are detected about the periphery of the removed object area, and extensions determined in response to color and depth information. Intersections are determined in a structure framework, whose regions are then synthesized using a patch filling process, after which remaining areas of the image similarly synthesized.

Abstract: Automatic scaling of image objects being moved or copied to a target object location is presented. An original image and its depth map are received within which the user selects an original object and a target location for the object to be moved or copied. A center of scaling is found and a base location selected at which depth value is to be obtained at the target location for use in scaling. Target object is then scaled in response to a ratio between original object depth and target object depth. An occlusion check is made, after which non-occluded pixels are pasted to the target location to complete the move/copy which is in proper proportion and accounts for surrounding structures.

Abstract: A method and apparatus for synthesis of homogeneous regions when infilling a missing region, such as for inpainting removed (or moved) objects from the image is presented. A color interpolation process is performed across opposing boundaries of the missing region for directing the color selection in the patch matching process. Patch matching is performed based on using a detail layer modified by information from color interpolation for each target patch which fills from the extremity of the missing region in towards its center.

Abstract: A method and apparatus for synthesis of homogeneous regions when infilling a missing region, such as for inpainting removed (or moved) objects from the image is presented. A color interpolation process is performed across opposing boundaries of the missing region for directing the color selection in the patch matching process. Patch matching is performed based on using a detail layer modified by information from color interpolation for each target patch which fills from the extremity of the missing region in towards its center.

Abstract: An image processing system and method of operation includes: a source image; a binary mask image generated from the source image; a connected components module for detecting character targets; a text unit module, coupled to the connected components module, for forming connected neighbors by grouping the character targets having bounding boxes with a horizontal overlap greater than a horizontal overlap threshold, and for forming a text unit by grouping the character targets having a character vertical overlap greater than a character vertical overlap threshold, each of the character targets having a character feature within a feature threshold; a identify baseline module, coupled to the text unit module, for calculating a text unit baseline angle for rotating the text unit to the horizontal; and an optical character recognition module, coupled to the text unit module, for detecting an output text of the text unit for display on a device.

Abstract: An inpainting apparatus and method are described for infilling of blank areas from which an image object or area has been missing, removed, or moved from. Structure regions that reach the edge of the removed object area are identified and then prioritized as to fill order based on depth (distance) from the camera. Then these structure regions are filled in prioritized fill order, followed by remaining (homogeneous) areas to generate the inpainted image. The method may be performed on any desired computer-enabled electronic device, including cell phones, digital cameras, laptops, tablets, personal computers and other processor-equipped electronic devices.

Abstract: Image inpainting is controlled in response to a structure analysis and recovery process for a missing object region. Structure edges are detected about the periphery of the removed object area, and extensions determined in response to color and depth information. Intersections are determined in a structure framework, whose regions are then synthesized using a patch filling process, after which remaining areas of the image similarly synthesized.

Abstract: An image processing system and method of operation includes: a source image; a binary mask image generated from the source image; a connected components module for detecting character targets; a text unit module, coupled to the connected components module, for forming connected neighbors by grouping the character targets having bounding boxes with a horizontal overlap greater than a horizontal overlap threshold, and for forming a text unit by grouping the character targets having a character vertical overlap greater than a character vertical overlap threshold, each of the character targets having a character feature within a feature threshold; a identify baseline module, coupled to the text unit module, for calculating a text unit baseline angle for rotating the text unit to the horizontal; and an optical character recognition module, coupled to the text unit module, for detecting an output text of the text unit for display on a device.

Abstract: A text recognition system and method of operation thereof including: a storage unit for storing a text unit; and a processing unit, connected to the storage unit, the processing unit including: a communication interface for receiving the text unit, a feature detection module for determining an isolated feature of the text unit, an angle detection module for determining angle features of the text unit, a feature vector module for generating a feature vector for the text unit based on the isolated feature and the angle features, and a text recognition module for determining recognized text using the feature vector for display on a display interface.

Abstract: An image processing system and method of operation includes: a source image having source pixels; homogeneous blocks in the source image having a block color; a homogeneous region in the source image formed by merging the homogeneous blocks having the block color within a color threshold; a text background region having text pixels and background pixels in the homogeneous region with the text background region having a texture feature above a texture threshold and a region size above a region size threshold; and a binary text mask representing the text pixels and the background pixels for displaying on a device.

Abstract: Automatic scaling of image objects being moved or copied to a target object location is presented. An original image and its depth map are received within which the user selects an original object and a target location for the object to be moved or copied. A center of scaling is found and a base location selected at which depth value is to be obtained at the target location for use in scaling. Target object is then scaled in response to a ratio between original object depth and target object depth. An occlusion check is made, after which non-occluded pixels are pasted to the target location to complete the move/copy which is in proper proportion and accounts for surrounding structures.

Abstract: An inpainting apparatus and method are described for infilling of blank areas from which an image object or area has been missing, removed, or moved from. Structure regions that reach the edge of the removed object area are identified and then prioritized as to fill order based on depth (distance) from the camera. Then these structure regions are filled in prioritized fill order, followed by remaining (homogeneous) areas to generate the inpainted image. The method may be performed on any desired computer-enabled electronic device, including cell phones, digital cameras, laptops, tablets, personal computers and other processor-equipped electronic devices.

Abstract: A natural user interface system and method of operation thereof including: providing a display screen having a range camera connected to the display screen in a known location relative to the display screen; determining a user's pointing vector as pointing towards the display screen; determining the user's pointing vector as motionless; and initializing a cursor in the center of the display screen and simultaneously calibrating the user's pointing vector as an initial pointing vector pointing at the center of the display screen.