Abstract: Techniques for generating three dimensional image data with brushstroke effects from a two dimensional image is disclosed. One or more three dimensional brushstroke patterns from at least one brushstroke are generated. A two dimensional image is partitioned into one or more color regions. For each color region, each three dimensional brushstroke pattern is transformed to obtain a brushstroke effect. Each transformed three dimensional brushstroke pattern is then applied to each color region to generate a three dimensional image data having the brushstroke effect.

Abstract: An image displaying apparatus includes a base capable of supporting an object, a camera configured to capture a plurality of images of the object, an illumination system housing a plurality of illuminators, an illumination control system configured to control illumination provided by the plurality of illuminators, and a focus control system configured to control a focus of the camera.

Abstract: A surveillance system including a tracking module, a controller and a detection module is provided. The tracking module processes at least one first image frame that is acquired via a first camera to track an object in the at least one first image frame, and generate location information of the object being tracked. The controller generates a control signal based on the location information and transmits the control signal to a second camera to control the movement of the second camera. The detection module processes at least one second image frame that is acquired via the second camera to detect a feature part of the object being tracked.

Abstract: Techniques for reconstructing an image of an object are provided. In some embodiments, an image reconstructing system includes one or more cameras, one or more light sources and an image processor. The cameras are configured to capture images of an object and the light sources are configured to irradiate the object. The image processor is configured to process the images to generate a first representation of the object and a second representation of the object, and to generate a reconstructed image of the object based on the first representation and the second representation.

Abstract: An image retrieval system includes an image entry unit configured to input an image. A descriptor determining unit receives the image and transforms the image into an intermediate image to generate a descriptor of the image, for example, utilizing the distance transform (DT) application. An image comparing unit compares the image with a plurality of candidate images by comparing the descriptor of the image with descriptors of the plurality of candidate images. Finally, a retrieving unit retrieves one or more candidate images similar to the input image based on the comparison of their descriptors.

Abstract: A fingerprint matching system includes a first minutiae obtaining unit and a second minutiae obtaining unit adapted to obtain minutiae information of first and second fingerprints. On the minutiae of the first fingerprint, a deformable mesh is constructed by a mesh construction unit, and a mesh transformation unit is used to transform a state of the deformable mesh, thereby obtaining a distortion-compensated first fingerprint. Based on the distortion-compensated first fingerprint, a matching determination unit determines whether the first fingerprint matches the second fingerprint or not.

Abstract: Techniques for segmenting images are disclosed.

Abstract: Techniques for segmenting an image of an object are provided. In some embodiments, an image segmentation apparatus includes an image input unit and an image processing unit. The image input unit is configured to receive as input a video image having a first image frame and a second image frame that is consecutive to the first image frame. The image processing unit is configured to segment the second image frame based at least in part on information on the first image frame.

Abstract: Techniques for matching a 3D object are provided. In some embodiments, a 3D object retrieval apparatus includes an input unit configured to receive as input at least one sample view of a 3D query object to be inputted, and an object descriptor determining unit configured to generate at least one object representative image of the 3D query object from the at least one sample view and to determine a query object descriptor of the 3D query object from the at least one object representative image.

Abstract: An apparatus for evaluating image registration is provided.

Abstract: An image retrieval system includes an image entry unit configured to input an image. A descriptor determining unit receives the image and transforms the image into an intermediate image to generate a descriptor of the image, for example, utilizing the distance transform (DT) application. An image comparing unit compares the image with a plurality of candidate images by comparing the descriptor of the image with descriptors of the plurality of candidate images. Finally, a retrieving unit retrieves one or more candidate images similar to the input image based on the comparison of their descriptors.

Abstract: A surveillance system including a tracking module, a controller and a detection module is provided. The tracking module processes at least one first image frame that is acquired via a first camera to track an object in the at least one first image frame, and generate location information of the object being tracked. The controller generates a control signal based on the location information and transmits the control signal to a second camera to control the movement of the second camera. The detection module processes at least one second image frame that is acquired via the second camera to detect a feature part of the object being tracked.

Abstract: Techniques for reconstructing an image of an object are provided. In some embodiments, an image reconstructing system includes one or more cameras, one or more light sources and an image processor. The cameras are configured to capture images of an object and the light sources are configured to irradiate the object. The image processor is configured to process the images to generate a first representation of the object and a second representation of the object, and to generate a reconstructed image of the object based on the first representation and the second representation.

Abstract: Techniques for matching a 3D object are provided. In some embodiments, a 3D object retrieval apparatus includes an input unit configured to receive as input at least one sample view of a 3D query object to be inputted, and an object descriptor determining unit configured to generate at least one object representative image of the 3D query object from the at least one sample view and to determine a query object descriptor of the 3D query object from the at least one object representative image.

Abstract: Navigation techniques are provided. In one embodiment, an apparatus may include a receiver for receiving broadcast data including an update of traffic data, a decoder for extracting the update of the traffic data, a memory for storing standard traffic data, and a controller to generate traffic information based on the update of the traffic information and the standard traffic data.

Abstract: Techniques for segmenting images are disclosed.

Abstract: Techniques for displaying an image are provided.

Abstract: Techniques for evaluating image registration are provided.

Abstract: Techniques for segmenting an image of an object are provided. In some embodiments, an image segmentation apparatus includes an image input unit and an image processing unit. The image input unit is configured to receive as input a video image having a first image frame and a second image frame that is consecutive to the first image frame. The image processing unit is configured to segment the second image frame based at least in part on information on the first image frame.

Abstract: Techniques for generating three dimensional image data with brushstroke effects from a two dimensional image is disclosed. One or more three dimensional brushstroke patterns from at least one brushstroke are generated. A two dimensional image is partitioned into one or more color regions. For each color region, each three dimensional brushstroke pattern is transformed to obtain a brushstroke effect. Each transformed three dimensional brushstroke pattern is then applied to each color region to generate a three dimensional image data having the brushstroke effect.