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 multiview 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.
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