This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance of ...
Many problems in vision can be formulated as Bayesian inference. It is important to determine the accuracy of these inferences and how they depend on the problem domain. In recent...
Alan L. Yuille, James M. Coughlan, Song Chun Zhu, ...
In this paper we extend an existing audio background modelling technique, leading to a more robust application to complex audio environments. The determination of background audio...
Geoff A. W. West, Simon Moncrieff, Svetha Venkates...
We propose a fast texture-segmentation approach to the problem of 2-D and 3–D model-based contour tracking, which is suitable for real-time or interactive applications. Our appr...
Content-based image retrieval (CBIR) addresses the problem of finding images relevant to the users' information needs, based principally on low-level visual features for whic...