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» Robust Object Tracking with a Case-Base Updating Strategy
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SSIAI
2000
IEEE
13 years 12 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
BVAI
2007
Springer
14 years 1 months ago
Incremental Subspace Learning for Cognitive Visual Processes
In real life, visual learning is supposed to be a continuous process. Humans have an innate facility to recognize objects even under less-than-ideal conditions and to build robust ...
Bogdan Raducanu, Jordi Vitrià
ECCV
2006
Springer
13 years 11 months ago
Segmentation and Guidance of Multiple Rigid Objects for Intra-operative Endoscopic Vision
Abstract. This paper presents an endoscopic vision framework for modelbased 3D guidance of surgical instruments used in robotized laparoscopic surgery. In order to develop such a s...
Christophe Doignon, Florent Nageotte, Michel de Ma...
ICIP
2009
IEEE
14 years 8 months ago
Display-camera Calibration From Eye Reflections
We present a novel technique for calibrating displaycamera systems from reflections in the user's eyes. Displaycamera systems enable a range of vision applications that need ...
CVPR
2007
IEEE
14 years 9 months ago
Delaunay Deformable Models: Topology-Adaptive Meshes Based on the Restricted Delaunay Triangulation
In this paper, we propose a robust and efficient Lagrangian approach, which we call Delaunay Deformable Models, for modeling moving surfaces undergoing large deformations and topo...
Jean-Philippe Pons, Jean-Daniel Boissonnat