Dynamic Photometric Stereo for Flat Bas-relief Surfaces

Photometric stereo recovers surface shape for well details but fails when the images are captured with relative motion between camera and object. Therefore, we propose a dynamic photometric stereo method for 3D reconstruction of flat bas-relief objects. The key contributions of our work are to build a unified world coordinate system between multi-view images by structure from motion with eliminating the mismatching points caused by the shadow and to establish the pixel-level dense match utilizing the homography between the flat object in two views. Finally, we can use the classic photometric stereo to obtain a high-quality 3D reconstruction result. The effectiveness of our method is verified on the real datasets.