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» Robust optical flow from photometric invariants
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ICCV
2003
IEEE
14 years 7 months ago
Shape and Motion under Varying Illumination: Unifying Structure from Motion, Photometric Stereo, and Multi-view Stereo
This paper presents an algorithm for computing optical flow, shape, motion, lighting, and albedo from an image sequence of a rigidly-moving Lambertian object under distant illumin...
Li Zhang, Brian Curless, Aaron Hertzmann, Steven M...
CIARP
2007
Springer
13 years 11 months ago
Robust Color Contour Object Detection Invariant to Shadows
In this work a new robust color and contour based object detection method in images with varying shadows is presented. The method relies on a physics-based contour detector that em...
Jorge Scandaliaris, Michael Villamizar, Juan Andra...
ICCV
2011
IEEE
12 years 5 months ago
Robust Topological Features for Deformation Invariant Image Matching
Local photometric descriptors are a crucial low level component of numerous computer vision algorithms. In practice, these descriptors are constructed to be invariant to a class o...
Edgar Lobaton, Ramanarayan Vasudevan, Ron Alterovi...
ICCV
2001
IEEE
14 years 7 months ago
Robust Histogram Construction from Color Invariants
An effective object recognition scheme is to represent and match images on the basis of histograms derived from photometric color invariants. A drawback, however, is that certain c...
Theo Gevers
BMVC
2010
13 years 8 days ago
Toward robust estimation of specular flow
Specular flow is an important class of optical flow whose utility in visual tasks has gained much interest in contemporary vision research. Unfortunately, however, reliably estima...
Yair Adato, Todd Zickler, Ohad Ben-Shahar