Projective transformations relate the coordinates of images that are taken by either a camera that undergoes only rotation while imaging an arbitrary scene, or one that rotates an...
Richard J. Radke, Peter J. Ramadge, Tomio Echigo, ...
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
In this paper we consider the problem of solving different pose and registration problems under rotational constraints. Traditionally, methods such as the iterative closest point ...
We derive a new class of photometric invariants that can be used for a variety of vision tasks including lighting invariant material segmentation, change detection and tracking, a...
Srinivasa G. Narasimhan, Visvanathan Ramesh, Shree...
Large area mapping at high resolution underwater continues to be constrained by sensor-level environmental constraints and the mismatch between available navigation and sensor acc...
Hanumant Singh, Christopher N. Roman, Oscar Pizarr...