A Space-Sweep Approach to True Multi-Image Matching
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
View Scalable Multiview Video Coding Using 3-D Warping With Depth Map
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper a new video coding by using multiple uncalibrated cameras is proposed. We consider the redundancy between the cameras view points and efficiently compress based on a depth map. Since our target videos are taken with uncalibrated cameras, our depth map is computed not in the real world but in the Projective Space. This is a virtual space defined by projective reconstruction of two still images. This means that the position in the space is correspondence to the depth value. Therefore we do not require full-calibration of the cameras. Generating the depth map requires finding the correspondence between the cameras. We use a "plane sweep" algorithm for it. Our method needs only a depth map except for the original base image and the camera parameters, and it contributes to the effectiveness of compression.