Abstract:
Provided is an apparatus for reconstructing a 3D shape of an object by using Helmholtz stereopsis. The apparatus includes: an image capturer for capturing two pairs of images satisfying Helmholtz reciprocity condition; a preprocessor for estimating optical and geometrical characteristics of a camera used for the image capturing; and a geometrical data reconstructor for converting Helmholtz restrictions generated from the respective pairs of the images into partial differential equations on the basis of the estimated optical and geometrical characteristics, and reconstructing 3D surface data of an object with depth discontinuity at a boundary between regions on the basis of the partial differential equations.
Abstract:
A pixel processing element (PPE)-based ray tracing device, includes an internal shared memory for receiving and storing image data to be rendered; a PPE processor for performing parallel ray tracing on the image data on a pixel-by-pixel basis; and a shading processor for accumulatively calculating color values of respective pixels obtained by ray tracing and determining a final color value of each pixel. Further, A PPE-based ray tracing method, includes receiving image data to be rendered on a frame-by-frame basis; storing data having a high frequency of use among the input data in a hierarchical cache; performing parallel ray tracing on image data of each pixel stored in the hierarchical cache on a frame-by-frame basis; calculating a color value of each pixel from first and second rays and a direct ray in accordance with the ray tracing result, and accumulating the color values to obtain the color value of each pixel.
Abstract:
A method for estimating three-dimensional positions of human joints includes the steps of: a) marker-free motion capturing a moving figure for obtaining a multiview 2D image of the moving figure, and extracting a 2D feature point corresponding to a bodily end-effector; b) three-dimensionally matching the 2D feature point corresponding to the bodily end-effector, and recovering the 3D coordinates of the bodily end-effector; c) generating a 3D blob of the bodily end-effector, generating a virtual sphere with a radius that is a distance from a center of the 3D blob to a joint, and projecting the virtual sphere onto the obtained multiview 2D image of the moving figure; and d) detecting a coinciding point of a surface of the projected virtual sphere and the multiview 2D image of the moving figure, and estimating a 3D position corresponding to the coinciding point as a 3D position of the joint.
Abstract:
Provided is an apparatus for reconstructing a 3D shape of an object by using Helmholtz stereopsis. The apparatus includes: an image capturer for capturing two pairs of images satisfying Helmholtz reciprocity condition; a preprocessor for estimating optical and geometrical characteristics of a camera used for the image capturing; and a geometrical data reconstructor for converting Helmholtz restrictions generated from the respective pairs of the images into partial differential equations on the basis of the estimated optical and geometrical characteristics, and reconstructing 3D surface data of an object with depth discontinuity at a boundary between regions on the basis of the partial differential equations.
Abstract:
Provided is an apparatus and method for determining stereo disparity based on two-path dynamic programming and GGCP. The apparatus includes a pre-processing unit for analyzing texture distribution of an input image by using a Laplacian of Gaussian (LOG) filter and dividing the input image into a homogeneous region and a non-homogeneous region; a local matching unit for determining candidate disparities to be included in an each pixel of all pixels; a local post-processing unit for removing candidate disparities in a pixel of low reliability by performing a visibility test betweens candidate disparities in each pixel to improve the reliability of the candidate disparity; and a global optimizing unit for determining a final disparity for candidate disparities in an each pixel by performing a dynamic programming.
Abstract:
A system for image representation of a real object by using photographic images and a method thereof are disclosed. The system includes: a characterization unit of an image sensing device for extracting characteristics of an image sensing device to be used to obtain photographs of a target object; a characterization unit of an object for obtaining photographs of the target object by using the image sensing device and extracting characteristics of the target object by using the obtained photographs; and an image reproduction unit for reproducing photorealistic images by reinterpreting the extracted characteristics from the characterization unit of an object to be suitable to conditions of expressing the target object.
Abstract:
Provided are an apparatus for generating multiple digital characters that do not collide with each other and a method thereof. The apparatus includes a posture storing block for extracting and storing key postures from motion capture data provided from the outside and for calculating and storing connection relationship between the extracted key postures, a character generating block for producing virtual characters based on user-input parameters, a simulating block for simulating the virtual characters not to collide with each other and generating motion pattern parameters based on the simulation result, a key frame generating block for searching matched postures according to the motion pattern parameters, which are transmitted from the simulating block, after then, changing the virtual characters, and generating key frames by locating the changed characters in corresponding positions on the screen, and a motion file generating block for producing a motion file by interpolating the key frames.
Abstract:
An apparatus and a method for predicting reality of an image are provided. The apparatus includes: a prediction model generator for performing a psychophysical observer test on a plurality of first test images provided from outside and analyzing the test result to generate an image reality prediction model; a prediction model verifier for applying the image prediction model to a second test image provided from outside to predict image reality and comparing the prediction result with the test result to verify the image reality prediction model; and a reality prediction model applier for applying the verified image reality prediction model to a target evaluation image and providing the prediction result.