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ICCV
2007
IEEE
16 years 1 months ago
A Variational Method for Scene Flow Estimation from Stereo Sequences
This paper presents a method for scene flow estimation from a calibrated stereo image sequence. The scene flow contains the 3-D displacement field of scene points, so that the 2-D...
Frederik Huguet, Frederic Devernay
88
Voted
CVPR
2001
IEEE
16 years 1 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
CVPR
2004
IEEE
16 years 1 months ago
High-Zoom Video Hallucination by Exploiting Spatio-Temporal Regularities
In this paper, we consider the problem of super-resolving a human face video by a very high (?16) zoom factor. Inspired by recent literature on hallucination and examplebased lear...
Göksel Dedeoglu, Jonas August, Takeo Kanade
AAAI
2010
15 years 1 months ago
Recognizing Multi-Agent Activities from GPS Data
Recent research has shown that surprisingly rich models of human behavior can be learned from GPS (positional) data. However, most research to date has concentrated on modeling si...
Adam Sadilek, Henry A. Kautz
100
Voted
CVPR
2008
IEEE
15 years 6 months ago
3-D Tracking of shoes for Virtual Mirror applications
In this paper, augmented reality techniques are used in order to create a Virtual Mirror for the real-time visualization of customized sports shoes. Similar to looking into a mirr...
Peter Eisert, Philipp Fechteler, Jürgen Rurai...