Artificial intelligence and robotics
Artificial Intelligence - Lecture notes in computer science 178
The society of mind
Generating and generalizing models of visual objects
Artificial Intelligence
Representing and using functional definitions for visual recognition
Representing and using functional definitions for visual recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Elastic-Model Driven Analysis of Several Views of a Deformable Cylindrical Object
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D object recognition: Representation and matching
Statistics and Computing
3D Object Recognition and Visualization on the Web
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Exploiting Context in Function-Based Reasoning
Revised Papers from the International Workshop on Sensor Based Intelligent Robots
Clustering Appearances of 3D Objects
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Object Labelling from Human Action Recognition
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Using Interaction Signatures to Find and Label Chairs and Floors
IEEE Pervasive Computing
Analysis of Two-Dimensional Non-Rigid Shapes
International Journal of Computer Vision
Active learning with near misses
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Learning membership functions in a function-based object recognition system
Journal of Artificial Intelligence Research
Function-based reasoning for goal-oriented image segmentation
Proceedings of the 2006 international conference on Towards affordance-based robot control
Functional object class detection based on learned affordance cues
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Content-based retrieval of functional objects in video using scene context
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Unsupervised learning of functional categories in video scenes
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Functional scene element recognition for video scene analysis
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
Abstraction and generalization of 3D structure for recognition in large intra-class variation
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
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An attempt is made to demonstrate the feasibility of defining an object category in terms of the functional properties shared by all objects in the category. This form of representation should allow much greater generality. A complete system has been implemented that takes the boundary surface description of a 3D object as its input and attempts to recognize whether the object belongs to the category 'chair' and, if so, into which subcategory if falls. This is, to the authors' knowledge, the first implemented system to explore the use of a purely function-based definition of an object category (that is, no explicit geometric or structural model) to recognize 3D objects. System competence has been evaluated on a database of over 100 objects, and the results largely agree with human interpretation of the objects.