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» Iterative MAP and ML Estimations for Image Segmentation
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PAMI
2007
253views more  PAMI 2007»
13 years 7 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
ICPR
2008
IEEE
14 years 9 months ago
Efficient triangulation based on 3D Euclidean optimization
This paper presents a method for triangulation of 3D points given their projections in two images. Recent results show that the triangulation mapping can be represented as a linea...
Klas Nordberg
CVPR
2010
IEEE
14 years 5 days ago
Refinement of Digital Elevation Models from Shadowing Cues
In this paper we derive formal constraints relating terrain elevation and observed cast shadows. We show how an optimisation framework can be used to refine surface estimates usin...
James Hogan, William Smith
IROS
2007
IEEE
189views Robotics» more  IROS 2007»
14 years 2 months ago
Person following with a mobile robot using binocular feature-based tracking
Abstract— We present the Binocular Sparse Feature Segmentation (BSFS) algorithm for vision-based person following with a mobile robot. BSFS uses Lucas-Kanade feature detection an...
Zhichao Chen, Stanley T. Birchfield
CORR
2010
Springer
210views Education» more  CORR 2010»
13 years 8 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad