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...
Visual media data such as an image is the raw data representation for many important applications. Reducing the dimensionality of raw visual media data is desirable since high dime...
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
In recent years, 3D deformable surface reconstruction
from single images has attracted renewed interest. It has
been shown that preventing the surface from either shrinking
or s...
Mathieu Salzmann (University of California, Berkel...
Partially occluded faces are common in many applications
of face recognition. While algorithms based on sparse
representation have demonstrated promising results, they
achieve t...
Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wr...