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» A Generative Model Based Approach to Motion Segmentation
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ISVC
2007
Springer
14 years 1 months ago
Image and Volume Segmentation by Water Flow
Abstract. A general framework for image segmentation is presented in this paper, based on the paradigm of water flow. The major water flow attributes like water pressure, surface t...
Xin U. Liu, Mark S. Nixon
PSIVT
2009
Springer
252views Multimedia» more  PSIVT 2009»
14 years 10 days ago
Moving Object Segmentation Using Optical Flow and Depth Information
This paper discusses the detection of moving objects (being a crucial part of driver assistance systems) using monocular or stereoscopic computer vision. In both cases, object dete...
Jens Klappstein, Tobi Vaudrey, Clemens Rabe, Andre...
PPSN
2010
Springer
13 years 6 months ago
Evolving a Single Scalable Controller for an Octopus Arm with a Variable Number of Segments
Abstract. While traditional approaches to machine learning are sensitive to highdimensional state and action spaces, this paper demonstrates how an indirectly encoded neurocontroll...
Brian G. Woolley, Kenneth O. Stanley
ICCV
2007
IEEE
14 years 9 months ago
Moving Object Extraction with a Hand-held Camera
This paper presents a new method to detect and accurately extract the moving object from a video sequence taken by a hand-held camera. In order to extract the high quality moving ...
Guofeng Zhang, Jiaya Jia, Wei Xiong, Tien-Tsin Won...
ICCV
2003
IEEE
14 years 9 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...