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» cROVER: Improving ROVER using automatic error detection
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ICASSP
2011
IEEE
12 years 9 months ago
A method to infer emotions from facial Action Units
We present a robust method to map detected facial Action Units (AUs) to six basic emotions. Automatic AU recognition is prone to errors due to illumination, tracking failures and ...
Sudha Velusamy, Hariprasad Kannan, Balasubramanian...
ICIP
2004
IEEE
14 years 7 months ago
A motion field reconstruction scheme for smooth boundary video object segmentation
Motion segmentation is a classic and on-going research topic which is an important pre-stage for many video processes. The reliability of the motion field calculation directly dete...
Jean Gao, Ninad Thakoor, Sungyong Jung
ICCV
2001
IEEE
14 years 7 months ago
A Novel Modeling Algorithm for Shape Recovery of Unknown Topology
This paper presents a novel modeling algorithm that is capable of simultaneously recovering correct shape geometry as well as its unknown topology from arbitrarily complicated dat...
Ye Duan, Hong Qin