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PAMI
2007
253views more  PAMI 2007»
13 years 6 months ago
Gaussian Mean-Shift Is an EM Algorithm
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...
Miguel Á. Carreira-Perpiñán
ICRA
2010
IEEE
164views Robotics» more  ICRA 2010»
13 years 5 months ago
Boundary detection based on supervised learning
— Detecting the boundaries of objects is a key step in separating foreground objects from the background, which is useful for robotics and computer vision applications, such as o...
Kiho Kwak, Daniel F. Huber, Jeongsook Chae, Takeo ...
IJCV
2010
158views more  IJCV 2010»
13 years 5 months ago
Metric Learning for Image Alignment
Abstract Image alignment has been a long standing problem in computer vision. Parameterized Appearance Models (PAMs) such as the Lucas-Kanade method, Eigentracking, and Active Appe...
Minh Hoai Nguyen, Fernando De la Torre
ASSETS
2010
ACM
13 years 4 months ago
Iwalk: a lightweight navigation system for low-vision users
Smart phones typically support a range of GPS-enabled navigation services. However, most navigation services on smart phones are of limited use to people with visual disabilities....
Amanda J. Stent, Shiri Azenkot, Ben Stern
PRL
2010
310views more  PRL 2010»
13 years 5 months ago
A Lagrangian Half-Quadratic approach to robust estimation and its applications to road scene analysis
We consider the problem of fitting linearly parameterized models, that arises in many computer vision problems such as road scene analysis. Data extracted from images usually cont...
Jean-Philippe Tarel, Pierre Charbonnier