Three-dimensional object recognition
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
Model-based strategies for high-level robot vision
Computer Vision, Graphics, and Image Processing
Model-based recognition in robot vision
ACM Computing Surveys (CSUR)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scaling Theorems for Zero Crossings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Localizing Overlapping Parts by Searching the Interpretation Tree
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Polygons to Recognize and Locate Partially Occluded Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two-dimensional, model-based, boundary matching using footprints
International Journal of Robotics Research
International Journal of Robotics Research
Partial Shape Recognition Using Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Recognition of Curved Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Detection of Dominant Points on Digital Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Partial Shape Recognition: A Landmark-Based Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Sensitivity of the Hough Transform for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational strategies for object recognition
ACM Computing Surveys (CSUR)
Structural Indexing: Efficient 3-D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Structural Indexing: Efficient 2D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant signatures for planar shape recognition under partial occlusion
CVGIP: Image Understanding
Optimal polygonal approximation of digitized curves
Proceedings of the 17th meeting of the Austrian Association for pattern recognition on Image analysis and synthesis
Sorting-Based Calculation of Zeros and Extrema of Functions as Applied to Search and Recognition. II
Cybernetics and Systems Analysis
Curve matching for open 2D curves
Pattern Recognition Letters
Future Generation Computer Systems
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The recognition and location of partially occluded objects is important for image-guided robot automation. A computational object recognition system consists of three main parts: shape representation, matching strategies and verification. The shape representation scheme, which is always application-oriented, should keep extracted features as invariant as possible. This paper presents a new model-based object recognition scheme for general two dimensional objects in a cluttered scene. The scheme considers objects subjected to similarity transformations (i.e., a combination of rotation, scaling and translation). It employs a new feature detection algorithm, combining curvature measures and polygonal approximation. An approximate, but efficient matching strategy is proposed for hypothesis generation and synthetic verification procedures are introduced to improve the robustness of the system. Experiment results are presented to show that the system works effectively and efficiently.