Abstract-Stereo matching techniques aim at reconstructing disparity maps from a pair of images. The use of stereo matching techniques in embedded systems is very challenging due to the complexity of the state-of-the-art algorithms. An efficient local stereo matching algorithm has been chosen from the literature and implemented on a c6678 DSP. Arithmetic simplifications such as approximation by piecewise linear functions and fixed point conversions are proposed. Thanks to factorisation and precomputing, the memory footprint is reduced by a factor 13 to fit on the memory footprint available on embedded systems. A 14.5 fps speed (factor 60 speed-up) has been reached with a small quality loss on the final disparity map.
In REF , an intricate mathematical function has also been replaced by piecewise linear functions.
Optimized fixed point implementation of a local stereo matching algorithm onto C66x DSP
Proceedings of the 2014 Conference on Design and Architectures for Signal and Image Processing
Proceedings of the 2014 Conference on Design and Architectures for Signal and Image Processing
Computer Science