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» A New Energy Function for Segmentation and Compression
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ICCV
2003
IEEE
13 years 11 months ago
Meshfree Particle Method
Many of the computer vision algorithms have been posed in various forms of differential equations, derived from minimization of specific energy functionals, and the finite eleme...
Huafeng Liu, Pengcheng Shi
BMVC
2010
13 years 4 months ago
Motion Coherent Tracking with Multi-label MRF optimization
We present a novel off-line algorithm for target segmentation and tracking in video. In our approach, video data is represented by a multi-label Markov Random Field model, and seg...
David Tsai, Matthew Flagg, James M. Rehg
IPMI
2003
Springer
13 years 11 months ago
Tunnelling Descent: A New Algorithm for Active Contour Segmentation of Ultrasound Images
The presence of speckle in ultrasound images makes it hard to segment them using active contours. Speckle causes the energy function of the active contours to have many local minim...
Zhong Tao, C. Carl Jaffe, Hemant Tagare
ICASSP
2008
IEEE
14 years 12 days ago
Brute-forcing hierarchical functionals for paralinguistics: A waste of feature space?
While the ”‘quasi-state-of-the-art”’ towards acoustic emotion recognition relies on multivariate time-series analysis of e.g. pitch, energy, or MFCC by statistical functio...
Björn Schuller, Matthias Wimmer, Lorenz Moese...
ISVC
2010
Springer
13 years 3 months ago
Split Bregman Method for Minimization of Region-Scalable Fitting Energy for Image Segmentation
Abstract. In this paper, we incorporated the global convex segmentation method and the split Bregman technique into the region-scalable fitting energy model. The new proposed metho...
Yunyun Yang, Chunming Li, Chiu-Yen Kao, Stanley Os...