A Method for Enforcing Integrability in Shape from Shading Algorithms
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A neural network for recovering 3D shape from erroneous and few depth maps of shaded images
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Shadow Graphs and 3D Texture Reconstruction
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International Journal of Computer Vision
Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging
ACM SIGGRAPH 2006 Courses
Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging
SIGGRAPH '05 ACM SIGGRAPH 2005 Courses
Interactive editing and modeling of bidirectional texture functions
ACM SIGGRAPH 2007 papers
Multiflash Stereopsis: Depth-Edge-Preserving Stereo with Small Baseline Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Reconstruction and Camera Self-Calibration Using Cast Shadows and Scene Geometries
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Modeling human activity from voxel person using fuzzy logic
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Shape reconstruction from cast shadows using coplanarities and metric constraints
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ShadowPix: Multiple Images from Self Shadowing
Computer Graphics Forum
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In this paper we discuss new results on the Shape From Darkness problem: using the motion of cast shadows to recover scene structure. Our approach is based on collecting a set of images from a fixed viewpoint as a known light source moves "across the sky". Previously published solutions to this problem have performed the reconstruction only for cross sections of the scene.In this paper, we present a reconstruction algorithm and discuss the reconstruction of an entire 3-D scene under various light source trajectories. We also consider the constraints on reconstruction. We conclude with experimental results that illustrate the convergence properties of the solution process and its robustness properties.