Tracking and recognizing non-rigid objects in video image sequences are complex tasks of increasing importance to many applications. In this paper, we present a hierarchical reali...
SangKyu Kang, Joon Ki Paik, Besma R. Abidi, Yan Zh...
A new method termed the vertex representation is presented for approximating the shapes of objects of arbitrary dimensionality d (e.g., 20, 30, etc.) with orthogonal (d - 1)-dimen...
We present a new statistical shape-from-shading framework for images of unknown illumination. The object (e.g., face) to be reconstructed is described by a parametric model. To de...
We propose a binary Markov Random Field (MRF) model
that assigns high probability to regions in the image domain
consisting of an unknown number of circles of a given radius.
We...
We describe a novel method of evolutionary visual learning that uses generative approach for assessing learner’s ability to recognize image contents. Each learner, implemented as...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...