A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
High-quality video view interpolation using a layered representation
ACM SIGGRAPH 2004 Papers
Efficient Belief Propagation for Early Vision
International Journal of Computer Vision
3-D video generation using hybrid camera system
Proceedings of the 2nd International Conference on Immersive Telecommunications
High-accuracy stereo depth maps using structured light
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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IEEE Transactions on Circuits and Systems for Video Technology
Depth map enhancement using adaptive steering Kernel regression based on distance transform
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Depth map up-sampling using random walk
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part I
Color Correction for Multi-view Images Using Relative Luminance and Chrominance Mapping Curves
Journal of Signal Processing Systems
Depth sculpturing for 2D paintings: A progressive depth map completion framework
Journal of Visual Communication and Image Representation
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In this paper, we present a hybrid camera system combining one time-of-flight depth camera and multiple video cameras to generate multi-view video sequences and their corresponding depth maps. In order to obtain the multi-view video-plus-depth data using the hybrid camera system, we capture multi-view videos using multiple video cameras and a single view depth video with the depth camera. After performing a three-dimensional (3-D) warping operation to obtain an initial depth map at each viewpoint, we refine the initial depth map using segment-based stereo matching. To reduce mismatched depth values along object boundaries, we detect the moving objects using color difference between frames and extract occlusion and disocclusion areas with the initial depth information. Finally, we recompute the depth value of each pixel in each segment using pairwise stereo matching with a proposed cost function. Experimental results show that the proposed hybrid camera system produces multi-view video sequences with more accurate depth maps, especially along the boundary of objects. In addition, it is suitable for generating more natural 3-D views for 3-D TV than previous works..