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» Probabilistic Scene Models for Image Interpretation
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CVPR
2010
IEEE
15 years 26 days ago
Real-time Tracking of Multiple Occluding Objects using Level Sets
We derive a probabilistic framework for robust, realtime, visual tracking of multiple previously unseen objects from a moving camera. This framework models the discrete depth orde...
Charles Bibby, Ian Reid
CVPR
2004
IEEE
15 years 11 months ago
Motion Estimation by Swendsen-Wang Cuts
Our paper has two main contributions. Firstly, it presents a model for image sequences motivated by an image encoding perspective. It models accreted regions, where objects appear...
Adrian Barbu, Alan L. Yuille
CVIU
2004
125views more  CVIU 2004»
14 years 9 months ago
Automatic description of complex buildings from multiple images
We present an approach for detecting and describing complex buildings with flat or complex rooftops by using multiple, overlapping images of the scene. We find 3-D rooftop boundar...
Zu Whan Kim, Ramakant Nevatia
SIGCSE
2006
ACM
147views Education» more  SIGCSE 2006»
15 years 3 months ago
Image understanding as a second course in AI: preparing students for research
This paper describes the development and structure of a second course in artificial intelligence that was developed to meet the needs of upper-division undergraduate and graduate ...
Roxanne L. Canosa
CORR
2010
Springer
140views Education» more  CORR 2010»
14 years 9 months ago
Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques
We propose a mid-level image segmentation framework that combines multiple figure-ground hypothesis (FG) constrained at different locations and scales, into interpretations that t...
João Carreira, Adrian Ion, Cristian Sminchi...