| Patent application number | Description | Published |
|---|
| 20100053416 | Auto depth field capturing system and method thereof - The invention presents a system and method for obtaining object depth through digital signal processing. The auto depth-field capturing method for a camera includes the steps of a) taking plural images; b) estimating plural epipolar data of the plural images for obtaining a matrix describing motion and directional vectors; c) estimating a location data in response to the plural epipolar data and the matrix; d) rectifying the plural images corresponding to the plural epipolar data for obtaining plural rectified images; e) calculating the location data for obtaining disparity vectors of the rectified images; f) obtaining a depth map in response to the disparity vectors and the location data; and g) painting a 3D image in correspondence with the depth map. The depth estimation method of the present invention is fully automatic without change of the camera itself. | 03-04-2010 |
| 20100054541 | Driving support system with plural dimension processing units - A driving support system with plural dimension processing units (DPUs) for indicating a condition of a surrounding area is disclosed. The driving support system of a vehicle includes plural image capturing devices disposed around the vehicle; at least a dimension processing unit (DPU) connected with the plural image capturing devices for receiving images from the plural image capturing devices and then producing plural related depth maps; a controller connected with the DPU for receiving the plural related depth maps and then producing an indicating data; and a display device connected with the controller for displaying the indicating data around the vehicle in a vertical view. | 03-04-2010 |
| 20100079448 | 3D Depth Generation by Block-based Texel Density Analysis - A system and method of generating three-dimensional (3D) depth information is disclosed. A classification and segmentation unit segments a two-dimensional (2D) image into a number of segments, such that pixels having similar characteristics are classified into the same segment. A spatial-domain texel density analysis unit performs texel density analysis on the 2D image to obtain textual density. A depth assignment unit assigns depth information to the 2D image according to the analyzed textual density. | 04-01-2010 |
| 20100079453 | 3D Depth Generation by Vanishing Line Detection - A system and method of generating three-dimensional (3D) depth information is disclosed. The vanishing point of a two-dimensional (2D) input image is detected based on vanishing lines. The 2D image is classified and segmented into structures based on detected edges. The classified structures are then respectively assigned depth information. | 04-01-2010 |
| 20100080481 | 3D Depth Generation by Local Blurriness Estimation - A system of generating three-dimensional (3D) depth information is disclosed. A color and object independent local blurriness estimation unit analyzes blurriness of each pixel of a two-dimensional (2D) image. Subsequently, a depth assignment unit assigns depth information to the 2D image according to the analyzed blurriness. | 04-01-2010 |
| 20100135585 | Method and Apparatus of Tile-based Belief Propagation - A method and apparatus of tile-based belief propagation are disclosed. An image is split into a number of tiles. Messages are iteratively generated within each of the tiles based on the messages from neighboring pixels to the tile at a previous iteration, wherein each message represents information of a state of the pixel. The generated messages for sending out of the tiles are stored. Labels are then determined based on the stored messages, wherein each label represents the state of the pixel. | 06-03-2010 |
| 20110141237 | DEPTH MAP GENERATION FOR A VIDEO CONVERSION SYSTEM - In accordance with at least some embodiments of the present disclosure, a process for generating a depth map for converting a two-dimensional (2D) image to a three-dimensional (3D) image is described. The process may include generating a depth gradient map from the 2D image, wherein the depth gradient map is configured to associate one or more edge counts with one or more depth values, extracting an image component from the 2D image, wherein the image component is associated with a color component in a color space, determining a set of gains to adjust the depth gradient map based on the image component, and generating the depth map by performing depth fusion based on the depth gradient map and the set of gains. | 06-16-2011 |
