Heuristic reasoning about uncertainty: an artificial intelligence approach
Heuristic reasoning about uncertainty: an artificial intelligence approach
The representation, recognition, and locating of 3-d objects
International Journal of Robotics Research
Machine learning an artificial intelligence approach volume II
Machine learning an artificial intelligence approach volume II
Segmentation and Classification of Range Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Object recognition from range images (vision, evidence)
Object recognition from range images (vision, evidence)
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
3-D Object Recognition Using Bipartite Matching Embedded in Discrete Relaxation
IEEE Transactions on Pattern Analysis and Machine Intelligence
CAD-Based Computer Vision: From CAD Models to Relational Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Clustering with Applications in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
BONSAI: 3D Object Recognition Using Constrained Search
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Computational strategies for object recognition
ACM Computing Surveys (CSUR)
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Image Interpretation Using Multiple Sensing Modalities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-based object recognition in dense-range images—a review
ACM Computing Surveys (CSUR)
A Parallel Algorithm for Graph Matching and Its MasPar Implementation
IEEE Transactions on Parallel and Distributed Systems
COSMOS-A Representation Scheme for 3D Free-Form Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scene Understanding by Rule Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Point Signatures: A New Representation for 3D Object Recognition
International Journal of Computer Vision
Learning Recognition and Segmentation Using the Cresceptron
International Journal of Computer Vision
A survey of methods for recovering quadrics in triangle meshes
ACM Computing Surveys (CSUR)
Estimation of Error in Curvature Computation on Multi-Scale Free-Form Surfaces
International Journal of Computer Vision
3D object recognition: Representation and matching
Statistics and Computing
The Automatic Construction of a View-Independent Relational Model for 3-D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Neural Network Approach to CSG-Based 3-D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D Object Recognition with Symmetric Models: Symmetry Extraction and Encoding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computation of Surface Geometry and Segmentation Using Covariance Techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Context Dependency of Pattern-Category Learning
CONTEXT '01 Proceedings of the Third International and Interdisciplinary Conference on Modeling and Using Context
Digital geometry image analysis for medical diagnosis
Proceedings of the 2006 ACM symposium on Applied computing
Efficient search and verification for function based classification from real range images
Computer Vision and Image Understanding
Learning function-based object classification from 3D imagery
Computer Vision and Image Understanding
A new perceptual organization approach to 3D measuring system based on the fuzzy integral
Image and Vision Computing
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An evidence-based recognition technique is defined that identifies 3-D objects by looking for their notable features. This technique makes use of an evidence rule base, which is a set of salient or evidence conditions with corresponding evidence weights for various objects in the database. A measure of similarity between the set of observed features and the set of evidence conditions for a given object in the database is used to determine the identity of an object in the scene or reject the object(s) in the scene as unknown. This procedure has polynomial time complexity and correctly identifies a variety of objects in both synthetic and real range images. A technique for automatically deriving the evidence rule base from training views of objects is shown to generate evidence conditions that successfully identify new views of those objects.