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ECCV
2002
Springer

Helmholtz Stereopsis: Exploiting Reciprocity for Surface Reconstruction

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Helmholtz Stereopsis: Exploiting Reciprocity for Surface Reconstruction
We present a method ? termed Helmholtz stereopsis ? for reconstructing the geometry of objects from a collection of images. Unlike existing methods for surface reconstruction (e.g., stereo vision, structure from motion, photometric stereopsis), Helmholtz stereopsis makes no assumptions about the nature of the bidirectional reflectance distribution functions (BRDFs) of objects. This new method of multinocular stereopsis exploits Helmholtz reciprocity by choosing pairs of light source and camera positions that guarantee that the ratio of the emitted radiance to the incident irradiance is the same for corresponding points in the two images. The method provides direct estimates of both depth and surface normals, and consequently weds the advantages of both conventional stereopsis and photometric stereopsis. Results from our implementations lend empirical support to our technique.
Todd Zickler, Peter N. Belhumeur, David J. Kriegma
Added 16 Oct 2009
Updated 16 Oct 2009
Type Conference
Year 2002
Where ECCV
Authors Todd Zickler, Peter N. Belhumeur, David J. Kriegman
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