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» A probabilistic framework for image segmentation
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CVPR
2004
IEEE
14 years 10 months ago
Shedding Light on Stereoscopic Segmentation
We propose a variational algorithm to jointly estimate the shape, albedo, and light configuration of a Lambertian scene from a collection of images taken from different vantage po...
Hailin Jin, Daniel Cremers, Anthony J. Yezzi, Stef...
WACV
2008
IEEE
14 years 2 months ago
A Vision-Based System For Automatic Detection and Extraction Of Road Networks
In this paper we present a novel vision-based system for automatic detection and extraction of complex road networks from various sensor resources such as aerial photographs, sate...
Charalambos Poullis, Suya You, Ulrich Neumann
PAMI
2006
243views more  PAMI 2006»
13 years 7 months ago
Dynamical Statistical Shape Priors for Level Set-Based Tracking
In recent years, researchers have proposed to introduce statistical shape knowledge into level set based segmentation methods in order to cope with insufficient low-level informati...
Daniel Cremers
CIVR
2003
Springer
156views Image Analysis» more  CIVR 2003»
14 years 1 months ago
Towards a Comprehensive Survey of the Semantic Gap in Visual Image Retrieval
This paper adopts the premise that the ‘semantic gap' is an incompletely surveyed feature in the landscape of visual image retrieval, and proposes a framework within which t...
Peter G. B. Enser, Christine J. Sandom
ICRA
2003
IEEE
131views Robotics» more  ICRA 2003»
14 years 1 months ago
Sky/ground modeling for autonomous MAV flight
Abstract— Recently, we have implemented a computervision based horizon-tracking algorithm for flight stability and autonomy in Micro Air Vehicles (MAVs) [1]. Occasionally, this ...
Sinisa Todorovic, Michael C. Nechyba, Peter G. Ifj...