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» Markov Random Field Modeling in Computer Vision
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FGR
2006
IEEE
163views Biometrics» more  FGR 2006»
14 years 3 months ago
Human Action Recognition Using Multi-View Image Sequences Features
Recognizing human action from image sequences is an active area of research in computer vision. In this paper, we present a novel method for human action recognition from image se...
Mohiuddin Ahmad, Seong-Whan Lee
ICPR
2006
IEEE
14 years 10 months ago
Style Quantification of Scanned Multi-source Digits
The co-occurring patterns in a group carrying the traits of common origin are statistically dependent via an underlying style context. Exploiting style consistency in groups of pa...
George Nagy, Xiaoli Zhang
ICPR
2004
IEEE
14 years 10 months ago
Developing Assistant Tools for Geometric Camera Calibration: Assessing the Quality of Input Images
This paper proposes two indicators for predicting the quality of camera model parameters from a set of input images. The first indicator is based on the acutance. It can quickly i...
Jean-Nicolas Ouellet, Patrick Hébert
CVPR
1997
IEEE
14 years 1 months ago
Identification of salient contours in cluttered images
We present a model of contour extraction in which the perceptual salience of contours arises from long-range interactions between orientation-selective filters. Ullman [19], Zucke...
Shih-Cheng Yen, Leif H. Finkel
BMVC
1998
13 years 10 months ago
Segmentation of Global Motion using Temporal Probabilistic Classification
The segmentation of pixels belonging to different moving elements within a cinematographic image sequence underpins a range of post-production special effects. In this work, the s...
P. R. Giaccone, Graeme A. Jones