Three-dimensional object recognition
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
Model-based recognition in robot vision
ACM Computing Surveys (CSUR)
Machine interpretation of line drawings
Machine interpretation of line drawings
Localizing Overlapping Parts by Searching the Interpretation Tree
IEEE Transactions on Pattern Analysis and Machine Intelligence
Polyhedral object recognition using Hough-space features
Pattern Recognition
Motion and Structure from Orthographic Projections
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fast and Flexible Thinning Algorithm
IEEE Transactions on Computers
Emulating the human interpretation of line-drawings as three-dimensional objects
International Journal of Computer Vision
Recognition by Linear Combinations of Models
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
The Representation Space Paradigm of Concurrent Evolving Object Descriptions
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
3-D Shape Recovery Using Distributed Aspect Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Model matching in robot vision by subgraph isomorphism
Pattern Recognition
Automatic analysis and understanding of documents
Handbook of pattern recognition & computer vision
Viewer-centered representations in object recognition: a computational approach
Handbook of pattern recognition & computer vision
3D line image analysis—a heuristic parallel approach with learning and recognition
Information Sciences—Intelligent Systems: An International Journal
3D object perception using gradient descent
Journal of Mathematical Imaging and Vision
Thinning Methodologies for Pattern Recognition
Thinning Methodologies for Pattern Recognition
A System for Interpretation of Line Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Solid model input through orthographic views
SIGGRAPH '83 Proceedings of the 10th annual conference on Computer graphics and interactive techniques
From Paper Drawings to Computer-Aided Design
IEEE Computer Graphics and Applications
An intelligent robot with cognition and decision-making ability
IJCAI'71 Proceedings of the 2nd international joint conference on Artificial intelligence
IBM Journal of Research and Development
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This research deals with state-of-the-art novel ideas in high level visualization, understanding and interpretation of line-drawing images of 3D patterns, including articulated objects. A new structural approach using linear combination and fast two-pass parallel matching techniques is presented. It is aimed at learning, representing, visualizing, and interpreting 2D line drawings as 3D objects, with only very few learning samples. It solves one of the basic concerns in diffusion tomography complexities, i.e. patterns can be reconstructed through fewer projections, and 3D objects can be recognized by a few learning samples views. It can also strengthen advantages of current key methods while overcome their drawbacks. Furthermore, it will be able to distinguish objects with very similar properties and is more accurate than other methods in the literature. In addition, an expsrimental system using JAVA and user-friendly interative platform has been established for testing large volume of image data in virtual environment on the web, for learning, and recognition. Several illustrative examples are demonstrated, including learning, recognizing, visualization and interpretation of 3D line drawing polyhedral objects. Finally, future research topics are outlined.