Multi-view stereo using multi-luminance images

Abstract

More and more multi-luminance image acquisition systems are designed for relighting. Besides the basic purpose of the multi-luminance images, they can also be adopted to enhance the performance of multi-view stereo. By fusing the point-clouds from images under different luminance setups, a good model of the object can be achieved, with high robustness to image noise, shadows and high-lights. This is the basic idea of our novel multi-view stereo method. Supported by our own multi-view multi-luminance image acquisition system, our method can produce good models for the real world objects.