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ICIP
2008
IEEE
14 years 4 months ago
Efficient motion estimation under varying illumination
In this paper, we show how to estimate, accurately and efï¬ciently, the 3D motion of a rigid or non-rigid object, and time-varying lighting in a dynamic scene. This is achieved i...
Yilei Xu, Amit K. Roy Chowdhury
ISMAR
2007
IEEE
14 years 4 months ago
Semi-automatic Annotations in Unknown Environments
Unknown environments pose a particular challenge for augmented reality applications because the 3D models required for tracking, rendering and interaction are not available ahead ...
Gerhard Reitmayr, Ethan Eade, Tom Drummond
HUMO
2007
Springer
14 years 4 months ago
Silhouette Based Generic Model Adaptation for Marker-Less Motion Capturing
This work presents a marker-less motion capture system that incorporates an approach to smoothly adapt a generic model mesh to the individual shape of a tracked person. This is don...
Martin Sunkel, Bodo Rosenhahn, Hans-Peter Seidel
MVA
2007
159views Computer Vision» more  MVA 2007»
13 years 11 months ago
Action Recognition of Insects Using Spectral Clustering
We propose a technique to recognize actions of grasshoppers based on spectral clustering. We track the object in 3D and construct features using 3D object movement in segments of ...
Maryam Moslemi Naeini, Greg Dutton, Kristina Rothl...
NIPS
2003
13 years 11 months ago
Automatic Annotation of Everyday Movements
This paper describes a system that can annotate a video sequence with: a description of the appearance of each actor; when the actor is in view; and a representation of the actorâ...
Deva Ramanan, David A. Forsyth