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» The Imalab Method for Vision Systems
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ICCV
2011
IEEE
14 years 6 months ago
DTAM: Dense Tracking and Mapping in Real-Time
DTAM is a system for real-time camera tracking and reconstruction which relies not on feature extraction but dense, every pixel methods. As a single hand-held RGB camera flies ov...
Richard A. Newcombe, Steven Lovegrove, Andrew J. D...
192
Voted
ACII
2011
Springer
14 years 6 months ago
A Psychologically-Inspired Match-Score Fusion Model for Video-Based Facial Expression Recognition
Communication between humans is rich in complexity and is not limited to verbal signals; emotions are conveyed with gesture, pose and facial expression. Facial Emotion Recognition ...
Albert Cruz, Bir Bhanu, Songfan Yang
CVPR
2012
IEEE
13 years 8 months ago
Rolling shutter bundle adjustment
This paper introduces a bundle adjustment (BA) method that obtains accurate structure and motion from rolling shutter (RS) video sequences: RSBA. When a classical BA algorithm pro...
Johan Hedborg, Per-Erik Forssén, Michael Fe...
CVPR
2007
IEEE
16 years 8 months ago
Saliency Detection: A Spectral Residual Approach
The ability of human visual system to detect visual saliency is extraordinarily fast and reliable. However, computational modeling of this basic intelligent behavior still remains...
Xiaodi Hou, Liqing Zhang
ICPR
2008
IEEE
16 years 14 days ago
Automatic geo-registration of maritime video feeds
We propose an automatic method to geo-register maritime video feeds to satellite images. The method first detects horizon during the day time and apex during the night time for si...
Xiaochun Cao, Zeeshan Rasheed, Haiying Liu, Niels ...