TIP
2008
13 years 11 months ago
2008
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
TIP
2008
13 years 11 months ago
2008
Videos representing flames, water, smoke, etc. are often defined as dynamic textures: "textures" because they are characterized by redundant repetition of a pattern and &...
TIP
2008
13 years 11 months ago
2008
Abstract--This paper studies a family of distributions constructed from multivariate gamma distributions to model the statistical properties of multisensor synthetic aperture radar...
TIP
2008
13 years 11 months ago
2008
Exploiting the quasi-linear relationship between local phase and disparity, phase-differencing registration algorithms provide a fast, powerful means for disparity estimation. Unfo...
TIP
2008
13 years 11 months ago
2008
AND FIGURES OF PAPER PUBLISHED IN IEEE TRANSACTIONS ON IMAGE PROCESSING VOL. 17, NO. 4, 2008 1 Bayesian Foreground and Shadow Detection in Uncertain Frame Rate Surveillance Videos ...
TIP
2008
13 years 11 months ago
2008
Abstract--Due to the limited depth of field of brightfield microscopes, it is usually impossible to image thick specimens entirely in focus. By optically sectioning the specimen, t...
TIP
2008
13 years 11 months ago
2008
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being...
TIP
2008
13 years 11 months ago
2008
Abstract--Sparse representations of signals have drawn considerable interest in recent years. The assumption that natural signals, such as images, admit a sparse decomposition over...
TIP
2008
13 years 11 months ago
2008
This paper proposes a non-Gaussian Markov field with a special feature: an explicit partition function. To the best of our knowledge, this is an original contribution. Moreover, th...
TIP
2008
13 years 11 months ago
2008
The local polynomial approximation (LPA) is a nonparametric regression technique with pointwise estimation in a sliding window. We apply the LPA of the argument of cos and sin in o...