Lambertian reflectance and linear subspaces
Weizmann Institute of Science · Princeton University
Abstract
We prove that the set of all Lambertian reflectance functions (the mapping from surface normals to intensities) obtained with arbitrary distant light sources lies close to a 9D linear subspace. This implies that, in general, the set of images of a convex Lambertian object obtained under a wide variety of lighting conditions can be approximated accurately by a low-dimensional linear subspace, explaining prior empirical results. We also provide a simple analytic characterization of this linear space. We obtain these results by representing lighting using spherical harmonics and describing the effects of Lambertian materials as the analog of a convolution. These results allow us to construct algorithms for object…
Citation impact
- FWCI
- 43.92
- Percentile
- 100%
- References
- 64
Authors
2Topics & keywords
- Linear subspace
- Subspace topology
- Artificial intelligence
- Convolution (computer science)
- Computer vision
- Mathematics
- Computer science
- Set (abstract data type)
- Sustainable cities and communities