Automatic Sensor Placement from Vision Task Requirements
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special Issue on Industrial Machine Vision and Computer Vision Technology:8MPart
On the relative complexity of active vs. passive visual search
International Journal of Computer Vision
Using intermediate objects to improve the efficiency of visual search
International Journal of Computer Vision - Special issue on active vision II
Active object recognition integrating attention and viewpoint control
Computer Vision and Image Understanding
Empirically-derived estimates of the complexity of labeling line drawings of polyhedral scenes
Artificial Intelligence
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sensor planning for 3D object search
Computer Vision and Image Understanding
Motion Understanding: Task-Directed Attention and Representations that Link Perception with Action
International Journal of Computer Vision
Using Real-Time Stereo Vision for Mobile Robot Navigation
Autonomous Robots
Occlusions as a Guide for Planning the Next View
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A New Proof of the NP Completeness of Visual Match
A New Proof of the NP Completeness of Visual Match
A framework for visual motion understanding
A framework for visual motion understanding
Sensor planning for object search
Sensor planning for object search
VOCUS: A Visual Attention System for Object Detection and Goal-Directed Search (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Attention links sensing to recognition
Image and Vision Computing
Finding approximate POMDP solutions through belief compression
Journal of Artificial Intelligence Research
The complexity of perceptual search tasks
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Planning and acting in partially observable stochastic domains
Artificial Intelligence
Focusing computational visual attention in multi-modal human-robot interaction
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
Active vision in robotic systems: A survey of recent developments
International Journal of Robotics Research
Exploiting probabilistic knowledge under uncertain sensing for efficient robot behaviour
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Topological spatial relations for active visual search
Robotics and Autonomous Systems
Autonomous Robots
Object search using object co-occurrence relations derived from web content mining
Intelligent Service Robotics
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Consider the problem of visually finding an object in a mostly unknown space with a mobile robot. It is clear that all possible views and images cannot be examined in a practical system. Visual attention is a complex phenomenon; we view it as a mechanism that optimizes the search processes inherent in vision (Tsotsos, 2001; Tsotsos et al., 2008) [1,2]. Here, we describe a particular example of a practical robotic vision system that employs some of these attentive processes. We cast this as an optimization problem, i.e., optimizing the probability of finding the target given a fixed cost limit in terms of total number of robotic actions required to find the visual target. Due to the inherent intractability of this problem, we present an approximate solution and investigate its performance and properties. We conclude that our approach is sufficient to solve this problem and has additional desirable empirical characteristics.