We model the process of imaging soft tissues with a 3D ultrasound probe using a linear convolution model, and obtain analytical expressions of both the ultrasound image and its spe...
Weichuan Yu, Ning Lin, Ping Yan, Kailasnath Purush...
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
Michael J. Black, Yaser Yacoob, Allan D. Jepson, D...
Linear and multi-linear models of object shape/appearance (PCA, 3DMM, AAM/ASM, multilinear tensors) have been very popular in computer vision. In this paper, we analyze the validi...
Among the various types of semantic concepts modeled, events pose the greatest challenge in terms of computational power needed to represent the event and accuracy that can be ach...