Ms. Xin Fan Profile

Xin Fan

at Beijing Univ of Posts and Telecommunications

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Proceedings Article | 20 August 2013 Paper

Efficient spatiotemporal matching algorithm for stereo videos

Xin Fan, Xin-zhu Sang, Nan Guo, Da-xiong Xu

Proceedings Volume 8913, 89130I (2013) https://doi.org/10.1117/12.2033045

KEYWORDS: Video, Algorithm development, Visualization, Detection and tracking algorithms, 3D modeling, Motion models, Image segmentation, Image processing algorithms and systems, Fluctuations and noise, Photonics

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An efficient stereo matching algorithm for computing stable disparity map sequence from video footage is presented. The algorithm is based on both the spatial and temporal consistency in the stereo sequences, and high quality disparity maps are achieved. Weber local descriptors (WLD) are extracted for each color channel from current stereo pairs, and the raw matching costs between the images are initialized by WLD. Orthogonal integral image (OII) technique along with minimum spanning tree (MST) is used to aggregate the similar pixels and preserve disparity edges adaptively. MST takes place of the process of voting support regions in OII technique and provides a specific support region for each pixel. The nodes of MST are all the image pixels, and the weight of edges are absolute difference between the nearest neighboring pixels. It’s a global method, and can achieve more accurate disparity maps than traditional OII technique. Three-frame subtraction is used to determine the temporal consistency between adjacent frames. The motion region is extracted and the disparity map of motive region is renewed. The disparity of current frame with the renewed disparity and the one for last frame is confirmed. The proposed approach has been tested on the real stereo sequences, and the results are satisfactory.

Proceedings Article | 20 August 2013 Paper

Real-time arbitrary view synthesis method for ultra-HD auto-stereoscopic display

Yuanfa Cai, Xinzhu Sang, Chen Duo, Tianqi Zhao, Xin Fan, Nan Guo, Xunbo Yu, Binbin Yan

Proceedings Volume 8913, 891309 (2013) https://doi.org/10.1117/12.2032607

KEYWORDS: 3D displays, 3D image processing, Image processing, Video, LCDs, Lenticular lenses, Video acceleration, OpenGL, Cameras, 3D vision

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An arbitrary view synthesis method from 2D-Plus-Depth image for real-time auto-stereoscopic display is presented. Traditional methods use depth image based rendering (DIBR) technology, which is a process of synthesizing “virtual” views of a scene from still or moving images and associated per-pixel depth information. All the virtual view images are generated and then the ultimate stereo-image is synthesized. DIBR can greatly decrease the number of reference images and is flexible and efficient as the depth images are used. However it causes some problems such as the appearance of holes in the rendered image, and the occurrence of depth discontinuity on the surface of the object at virtual image plane. Here, reversed disparity shift pixel rendering is used to generate the stereo-image directly, and the target image won’t generate holes. To avoid duplication of calculation and also to be able to match with any specific three-dimensional display, a selecting table is designed to pick up appropriate virtual viewpoints for auto-stereoscopic display. According to the selecting table, only sub-pixels of the appropriate virtual viewpoints are calculated, so calculation amount is independent of the number of virtual viewpoints. In addition, 3D image warping technology is used to translate depth information to parallax between virtual viewpoints and parallax, and the viewer can adjust the zero-parallax-setting-plane (ZPS) and change parallax conveniently to suit his/her personal preferences. The proposed method is implemented with OPENGL and demonstrated on a laptop computer with a 2.3 GHz Intel Core i5 CPU and NVIDA GeForce GT540m GPU. We got a frame rate 30 frames per second with 4096×2340 video. High synthesis efficiency and good stereoscopic sense can be obtained. The presented method can meet the requirements of real-time ultra-HD super multi-view auto-stereoscopic display.

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