Chia-Ming Cheng

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In this paper, a new algorithm is developed for recovering the large disocclusion regions in depth image based rendering (DIBR) systems on 3DTV. For the DIBR systems, undesirable artifacts occur in the disocclusion regions by using the conventional view synthesis techniques especially with large baseline. Three techniques are proposed to improve the view(More)
In this paper, we propose a novel self image rectifica-tion algorithm for uncalibrated stereo video sequences. Different from conventional stereo systems, this algorithm performs adaptive calibration that allows unequal motions and zooming effects in both cameras. For the first stereo frame, we estimate a reduced set of camera parameters through a nonlinear(More)
The estimation of fundamental matrix from two-view images has been an important topic of research in 3D computer vision. In this paper, we present an improved robust algorithm for fundamental matrix estimation via modification of the RANSAC algorithm. The proposed algorithm is based on constructing a voting array for all the point correspondence pairs to(More)
We present an improved bundle adjustment method based on the online learned appearance subspaces of 3D points. Our method incorporates the additional information from the learned appearance models into bundle adjustment. Through the online learning of the appearance models, we are able to include more plausible observations of 2D features across diverse(More)