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TOG
2002
208views more  TOG 2002»
13 years 4 months ago
Video matting of complex scenes
This paper describes a new framework for video matting, the process of pulling a high-quality alpha matte and foreground from a video sequence. The framework builds upon technique...
Yung-Yu Chuang, Aseem Agarwala, Brian Curless, Dav...
PAMI
2002
177views more  PAMI 2002»
13 years 4 months ago
Adjusting Shape Parameters Using Model-Based Optical Flow Residuals
We present a method for estimating the shape of a deformable model using the least-squares residuals from a model-based optical flow computation. This method is built on top of an...
Douglas DeCarlo, Dimitris N. Metaxas
IJCV
2006
192views more  IJCV 2006»
13 years 5 months ago
Piecewise-Smooth Dense Optical Flow via Level Sets
We propose a new algorithm for dense optical flow computation. Dense optical flow schemes are challenged by the presence of motion discontinuities. In state of the art optical flo...
Tomer Amiaz, Nahum Kiryati
DAGM
2007
Springer
13 years 9 months ago
Fluid Flow Estimation Through Integration of Physical Flow Configurations
Abstract. The measurement of fluid flows is an emerging field for optical flow computation. In a number of such applications, a tracer is visualized with modern digital cameras. Du...
Christoph S. Garbe
IROS
2006
IEEE
183views Robotics» more  IROS 2006»
13 years 11 months ago
An Embedded Optical Flow Processor for Visual Navigation using Optical Correlator Technology
– The conceptual design of an embedded high performance opto-electronic optical flow processor is presented, which is designed for navigation applications in the field of robotic...
Valerij Tchernykh, Martin Beck, Klaus Janschek
ICCV
2007
IEEE
14 years 7 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
CVPR
2008
IEEE
14 years 7 months ago
On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation
Linear inverse problems in computer vision, including motion estimation, shape fitting and image reconstruction, give rise to parameter estimation problems with highly correlated ...
Björn Andres, Claudia Kondermann, Daniel Kond...
CVPR
2008
IEEE
14 years 7 months ago
Modeling complex luminance variations for target tracking
Lambert's model is widely used in low level computer vision algorithms such as matching, tracking or optical flow computation for example. However, it is well known that thes...
Éric Marchand, Christophe Collewet