A real-time rectification using an adaptive binary encoding for high-resolution video

Previously, various rectification methods using compressed lookup table have been studied for real-time hardware stereo vision system. These loss compression methods may occur distortion that could corrupt disparity estimation process. Differentially encoded lookup table method which is lossless compression has no distortion with reasonable compression ratio. However, the method is limited to low-resolution and low warping movement. In this paper, we propose an adaptive binary encoding method. Our proposed algorithm has approximately 10~26% compression ratio which is comparable to the previous method and tolerates high-resolution video.