Procedural elements for computer graphics
Procedural elements for computer graphics
Three-dimensional object recognition
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
Model-based recognition in robot vision
ACM Computing Surveys (CSUR)
3DPO: A three-dimensional part orientation system
International Journal of Robotics Research
Volume/surface octrees for the representation of three-dimensional objects
Computer Vision, Graphics, and Image Processing
Generating and generalizing models of visual objects
Artificial Intelligence
3-D multiview object representation for model-based object recognition
Pattern Recognition
Computer
A short history of CAD data transfer standards
IEEE Computer Graphics and Applications
Three-Dimensional Vision Structure for Robot Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special Issue on Industrial Machine Vision and Computer Vision Technology:8MPart
Polyhedral object recognition using Hough-space features
Pattern Recognition
Evidence-Based Recognition of 3-D Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active optical range imaging sensors
Advances in Machine Vision
Cage-based computer vision: the automatic generation of recognition strategies
Cage-based computer vision: the automatic generation of recognition strategies
Geometric reasoning for constructing 3D scene descriptions from images
Artificial Intelligence - Special issue on geometric reasoning
Recognizing 3-D Objects Using Surface Descriptions
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric and solid modeling: an introduction
Geometric and solid modeling: an introduction
The design and analysis of spatial data structures
The design and analysis of spatial data structures
Computing the Aspect Graph for Line Drawings of Polyhedral Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovery of Parametric Models from Range Images: The Case for Superquadrics with Global Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Representations for Rigid Solids: Theory, Methods, and Systems
ACM Computing Surveys (CSUR)
Computer Vision
Computational Geometry for Design and Manufacture
Computational Geometry for Design and Manufacture
Three-dimensional representation and recognition using object wings
Three-dimensional representation and recognition using object wings
Cad-based computer vision: modeling and recognition strategies
Cad-based computer vision: modeling and recognition strategies
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
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
Efficient Data Structures for Model-Based 3-D Object Recognition and Localization from Range Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-based object recognition in dense-range images—a review
ACM Computing Surveys (CSUR)
Organizing Large Structural Modelbases
IEEE Transactions on Pattern Analysis and Machine Intelligence
A provably correct feature extractor for parts with cylindrical and planar surfaces
SMA '95 Proceedings of the third ACM symposium on Solid modeling and applications
Structural Matching by Discrete Relaxation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of methods for recovering quadrics in triangle meshes
ACM Computing Surveys (CSUR)
A CAD Model Based System for Object Recognition
Journal of Intelligent and Robotic Systems
Obstacle Collision Detection Using Best Ellipsoid Fit
Journal of Intelligent and Robotic Systems
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
IEEE Transactions on Pattern Analysis and Machine Intelligence
Saliency sequential surface organization for free-form object recognition
Computer Vision and Image Understanding
Object Recognition for a Grasping Task by a Mobile Manipulator
ICVS '99 Proceedings of the First International Conference on Computer Vision Systems
Obtaining complete 2½D view representation of polyhedra using concept of seedling single-view area
Computer Vision and Image Understanding
Machine Graphics & Vision International Journal
Machine Graphics & Vision International Journal
Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Polyhedral object recognition by indexing
Pattern Recognition
A DEVS library for rail operations simulation
Proceedings of the 2011 Emerging M&S Applications in Industry and Academia Symposium
From data to simulation models: component-based model generation with a data-driven approach
Proceedings of the Winter Simulation Conference
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The topic of model-building for 3-D objects is examined. Most 3-D object recognition systems construct models either manually or by training. Neither approach has been very satisfactory, particularly in designing object recognition systems which can handle a large number of objects. Recent interest in integrating mechanical CAD systems and vision systems has led to a third type of model building for vision: adaptation of preexisting CAD models of objects for recognition. If a solid model of an object to be recognized is already available in a manufacturing database, then it should be possible to infer automatically a model appropriate for vision tasks from the manufacturing model. Such a system has been developed. It uses 3-D object descriptions created on a commercial CAD system and expressed in both the industry-standard IGES form and a polyhedral approximation and performs geometric inferencing to obtain a relational graph representation of the object which can be stored in a database of models for object recognition. Relational graph models contain both view-independent information extracted from the IGES description and view-dependent information (patch areas) extracted from synthetic views of the object. It is argued that such a system is needed to efficiently create a large database (more than 100 objects) of 3-D models to evaluate matching strategies.