Single viewpoint model completion of symmetric objects for digital inspection
Computer Vision and Image Understanding
Optical signal processing with illumination-encoded filters
Computer Vision and Image Understanding
Structure from motion and photometric stereo for dense 3D shape recovery
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Fast high-resolution appearance editing using superimposed projections
ACM Transactions on Graphics (TOG)
3D Deformable Super-Resolution for Multi-Camera 3D Face Scanning
Journal of Mathematical Imaging and Vision
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We present a self-calibrating photogeometric method using only off--the-shelf hardware that enables quickly and robustly obtaining multimillion point-sampled and colored models of real-world objects. Some previous efforts use a priori calibrated systems to separately acquire geometric and photometric information. Our key enabling observation is that a digital projector can be simultaneously used as either an active light source or as a virtual camera (as opposed to a digital camera, which cannot be used for both). We present our self--calibrating and multiviewpoint 3D acquisition method, based on structured light, which simultaneously obtains mutually registered surface position and surface normal information and produces a single high-quality model. Acquisition processing freely alternates between using a geometric setup and using a photometric setup with the same hardware configuration. Further, our approach generates reconstructions at the resolution of the camera and not only the projector. We show the results of capturing several high-quality models of real--world objects.