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Example-Based Super-Resolution
IEEE Computer Graphics and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lambertian Reflectance and Linear Subspaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape and Spatially-Varying BRDFs from Photometric Stereo
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Relief Texture from Specularities
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Photometric Stereo with General, Unknown Lighting
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Image alignment and stitching: a tutorial
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Creating a Photoreal Digital Actor: The Digital Emily Project
CVMP '09 Proceedings of the 2009 Conference for Visual Media Production
IEEE Transactions on Pattern Analysis and Machine Intelligence
Physically-based interactive bi-scale material design
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Fabricating BRDFs at high spatial resolution using wave optics
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Simple 3D surface reconstruction using flatbed scanner and 3D print
SIGGRAPH Asia 2013 Posters
Interactive appearance design in the presence of optically complex materials
MAM '13 Proceedings of the Eurographics 2013 Workshop on Material Appearance Modeling: Issues and Acquisition
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We describe a system for capturing microscopic surface geometry. The system extends the retrographic sensor [Johnson and Adelson 2009] to the microscopic domain, demonstrating spatial resolution as small as 2 microns. In contrast to existing microgeometry capture techniques, the system is not affected by the optical characteristics of the surface being measured---it captures the same geometry whether the object is matte, glossy, or transparent. In addition, the hardware design allows for a variety of form factors, including a hand-held device that can be used to capture high-resolution surface geometry in the field. We achieve these results with a combination of improved sensor materials, illumination design, and reconstruction algorithm, as compared to the original sensor of Johnson and Adelson [2009].