IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Recognition by functional parts
Computer Vision and Image Understanding - Special issue of funtion-based vision
Interactive recognition and representation of functionality
Computer Vision and Image Understanding - Special issue of funtion-based vision
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Comparison of Affine Region Detectors
International Journal of Computer Vision
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Robotic Grasping of Novel Objects using Vision
International Journal of Robotics Research
Object detection by contour segment networks
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Foundations and Trends in Robotics
Integration of Visual Cues for Robotic Grasping
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Learning Visual Object Categories for Robot Affordance Prediction
International Journal of Robotics Research
Learning grasping points with shape context
Robotics and Autonomous Systems
A new strategy combining empirical and analytical approaches for grasping unknown 3D objects
Robotics and Autonomous Systems
Visual object-action recognition: Inferring object affordances from human demonstration
Computer Vision and Image Understanding
Learning invariant visual shape representations from physics
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
A modular design of Bayesian networks using expert knowledge: Context-aware home service robot
Expert Systems with Applications: An International Journal
An overview of 3D object grasp synthesis algorithms
Robotics and Autonomous Systems
Scene semantics from long-term observation of people
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Graspable parts recognition in man-made 3d shapes
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Learning of grasp selection based on shape-templates
Autonomous Robots
Object-object interaction affordance learning
Robotics and Autonomous Systems
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Current approaches to visual object class detection mainly focus on the recognition of basic level categories, such as cars, motorbikes, mugs and bottles. Although these approaches have demonstrated impressive performance in terms of recognition, their restriction to these categories seems inadequate in the context of embodied, cognitive agents. Here, distinguishing objects according to functional aspects based on object affordances is important in order to enable manipulation of and interaction between physical objects and cognitive agent. In this paper, we propose a system for the detection of functional object classes, based on a representation of visually distinct hints on object affordances (affordance cues). It spans the complete range from tutordriven acquisition of affordance cues, learning of corresponding object models, and detecting novel instances of functional object classes in real images.