Exploratory visual sensing for determining spatial layout with an agile stereo camera system
Exploratory visual sensing for determining spatial layout with an agile stereo camera system
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
Saliency Maps Operating on Stereo Images Detect Landmarks and Their Distance
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Biologically Inspired Saliency Map Model for Bottom-up Visual Attention
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
A Goal Oriented Attention Guidance Model
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Comparative analysis of fuzzy ART and ART-2A network clustering performance
IEEE Transactions on Neural Networks
Dynamic visual selective attention model
Neurocomputing
Biologically Motivated Face Selective Attention Model
Neural Information Processing
Incremental Knowledge Representation Based on Visual Selective Attention
Neural Information Processing
Stereo Saliency Map Considering Affective Factors in a Dynamic Environment
Neural Information Processing
Top-Down Object Color Biased Attention Using Growing Fuzzy Topology ART
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
Office-mate: selective attention and incremental object perception
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
An adaptive fuzzy system for the control of the vergence angle on a robotic head
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Affective saliency map considering psychological distance
Neurocomputing
Goal-oriented behavior generation for visually-guided manipulation task
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
Saliency maps of high dynamic range images
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part II
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We propose a new human-like vergence control method for an active stereo vision system. The proposed system uses a selective attention model to localize an interesting area in each camera. The selected object area in the master camera is compared with that in the slave camera to identify whether the two cameras find a same landmark. If the left and right cameras successfully find a same landmark, the implemented active vision system with two cameras focuses on the landmark. Using the motor encoder information, we can detect depth information automatically. Computer simulation and experimental results show that the proposed vergence control method is very effective in implementing the human-like active stereo vision system.