Principal component analysis has proven to be useful for understanding geometric variability in populations of parameterized objects. The statistical framework is well understood ...
We illustrate how to consider a network of cameras as a single generalized camera in a framework proposed by Nayar [13]. We derive the discrete structure from motion equations for...
Radial symmetry is an important perceptual cue for the feature-based representation, fixation, and description of large-scale data sets. A new approach based on iterative voting a...
Prior work has argued that when a Lambertian surface in fixed pose is observed in multiple images under varying distant illumination, there is an equivalence class of surfaces giv...
Manmohan Krishna Chandraker, Fredrik Kahl, David J...
This paper addresses the problem of reconstructing the geometry and color of a Lambertian scene, given some fully calibrated images acquired with wide baselines. In order to compl...