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» Graph-Theoretical Methods in Computer Vision
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112
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ICVS
1999
Springer
15 years 4 months ago
ADORE: Adaptive Object Recognition
Many modern computer vision systems are built by chaining together standard vision procedures, often in graphical programming environments such as Khoros, CVIPtools or IUE. Typical...
Bruce A. Draper, José Bins, Kyungim Baek
ICCV
2009
IEEE
14 years 10 months ago
Learning image similarity from Flickr groups using Stochastic Intersection Kernel MAchines
Measuring image similarity is a central topic in computer vision. In this paper, we learn similarity from Flickr groups and use it to organize photos. Two images are similar if th...
Gang Wang, Derek Hoiem, David A. Forsyth
107
Voted
ICCV
1999
IEEE
15 years 4 months ago
Real-Time Object Detection for "Smart" Vehicles
This paper presents an e cient shape-based object detection method based on Distance Transforms and describes its use for real-time vision on-board vehicles. The method uses a tem...
Dariu Gavrila, Vasanth Philomin
ECCV
2006
Springer
15 years 4 months ago
Using a Connected Filter for Structure Estimation in Perspective Systems
Three-dimensional structure information can be estimated from two-dimensional images using recursive estimation methods. This paper investigates possibilities to improve structure...
Fredrik Nyberg, Ola Dahl, Jan Holst, Anders Heyden
ICCV
2007
IEEE
16 years 2 months ago
LogCut - Efficient Graph Cut Optimization for Markov Random Fields
Markov Random Fields (MRFs) are ubiquitous in lowlevel computer vision. In this paper, we propose a new approach to the optimization of multi-labeled MRFs. Similarly to -expansion...
Victor S. Lempitsky, Carsten Rother, Andrew Blake