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136
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CVPR
2011
IEEE
14 years 11 months ago
Simulating Human Saccadic Scanpaths on Natural Images
Human saccade is a dynamic process of information pursuit. Based on the principle of information maximization, we propose a computational model to simulate human saccadic scanpath...
Wei Wang, Cheng Chen, Yizhou Wang, Tingting Jiang,...
173
Voted
MICCAI
2003
Springer
16 years 4 months ago
Real-Time Synthesis of Bleeding for Virtual Hysteroscopy
In this paper we present a method for simulating bleeding in a virtual reality hysteroscopic simulator for surgical training. The simulated bleeding is required to be visually app...
János Zátonyi, Rupert Paget, G&aacut...
122
Voted
FSKD
2006
Springer
122views Fuzzy Logic» more  FSKD 2006»
15 years 7 months ago
Context Modeling with Bayesian Network Ensemble for Recognizing Objects in Uncertain Environments
Abstract. It is difficult to understand a scene from visual information in uncertain real world. Since Bayesian network (BN) is known as good in this uncertainty, it has received s...
Seung-Bin Im, Youn-Suk Song, Sung-Bae Cho
MVA
2007
189views Computer Vision» more  MVA 2007»
15 years 5 months ago
Image Segmentation Using Region Merging Combined with a Multi-class Spectral Method
In this paper we propose an image segmentation algorithm that combines region merging with spectral-based techniques. An initial partitioning of the image into primitive regions i...
Fernando C. Monteiro, Aurélio C. Campilho
115
Voted
NIPS
2007
15 years 5 months ago
On Sparsity and Overcompleteness in Image Models
Computational models of visual cortex, and in particular those based on sparse coding, have enjoyed much recent attention. Despite this currency, the question of how sparse or how...
Pietro Berkes, Richard Turner, Maneesh Sahani