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Object model

About: Object model is a research topic. Over the lifetime, 7052 publications have been published within this topic receiving 170811 citations.


Papers
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Journal ArticleDOI
TL;DR: Recognition-by-components (RBC) provides a principled account of the heretofore undecided relation between the classic principles of perceptual organization and pattern recognition.
Abstract: The perceptual recognition of objects is conceptualized to be a process in which the image of the input is segmented at regions of deep concavity into an arrangement of simple geometric components, such as blocks, cylinders, wedges, and cones. The fundamental assumption of the proposed theory, recognition-by-components (RBC), is that a modest set of generalized-cone components, called geons (N £ 36), can be derived from contrasts of five readily detectable properties of edges in a two-dimensiona l image: curvature, collinearity, symmetry, parallelism, and cotermination. The detection of these properties is generally invariant over viewing position an$ image quality and consequently allows robust object perception when the image is projected from a novel viewpoint or is degraded. RBC thus provides a principled account of the heretofore undecided relation between the classic principles of perceptual organization and pattern recognition: The constraints toward regularization (Pragnanz) characterize not the complete object but the object's components. Representational power derives from an allowance of free combinations of the geons. A Principle of Componential Recovery can account for the major phenomena of object recognition: If an arrangement of two or three geons can be recovered from the input, objects can be quickly recognized even when they are occluded, novel, rotated in depth, or extensively degraded. The results from experiments on the perception of briefly presented pictures by human observers provide empirical support for the theory. Any single object can project an infinity of image configurations to the retina. The orientation of the object to the viewer can vary continuously, each giving rise to a different two-dimensional projection. The object can be occluded by other objects or texture fields, as when viewed behind foliage. The object need not be presented as a full-colored textured image but instead can be a simplified line drawing. Moreover, the object can even be missing some of its parts or be a novel exemplar of its particular category. But it is only with rare exceptions that an image fails to be rapidly and readily classified, either as an instance of a familiar object category or as an instance that cannot be so classified (itself a form of classification).

5,464 citations

Book
01 Jan 1990
TL;DR: This book discusses Object Modeling as a Design Technique, Object Diagram Compiler, and the Future of Object-Oriented Technology.
Abstract: 1. Introduction. I. MODELING CONCEPTS. 2. Modeling as a Design Technique. 3. Object Modeling. 4. Advanced Object Modeling. 5. Dynamic Modeling. 6. Functional Modeling. II. DESIGN METHODOLOGY. 7. Methodology Preview. 8. Analysis. 9. System Design. 10. Object Design. 11. Methodology Summary. 12. Comparison of Methodologies. III. IMPLEMENTATION. 13. From Design to Implementation. 14. Programming Style. 15. Object-Oriented Languages. 16. Non-Object-Oriented Languages. 17. Databases. 18. Object Diagram Compiler. 19. Computer Animation. 20. Electrical Distribution Design System. 21. Future of Object-Oriented Technology. Appendix A: OMT Graphical Notation. Appendix B: Glossary. Index.

5,408 citations

Journal ArticleDOI
TL;DR: A new information-theoretic approach is presented for finding the pose of an object in an image that works well in domains where edge or gradient-magnitude based methods have difficulty, yet it is more robust than traditional correlation.
Abstract: A new information-theoretic approach is presented for finding the pose of an object in an image. The technique does not require information about the surface properties of the object, besides its shape, and is robust with respect to variations of illumination. In our derivation few assumptions are made about the nature of the imaging process. As a result the algorithms are quite general and may foreseeably be used in a wide variety of imaging situations. Experiments are presented that demonstrate the approach registering magnetic resonance (MR) images, aligning a complex 3D object model to real scenes including clutter and occlusion, tracking a human head in a video sequence and aligning a view-based 2D object model to real images. The method is based on a formulation of the mutual information between the model and the image. As applied here the technique is intensity-based, rather than feature-based. It works well in domains where edge or gradient-magnitude based methods have difficulty, yet it is more robust than traditional correlation. Additionally, it has an efficient implementation that is based on stochastic approximation.

3,584 citations

Book
01 Jan 1990
TL;DR: This chapter discusses the development of Object-Oriented Programming Languages and the Structure of Complex Systems, and the role of Classification in this development.
Abstract: I. CONCEPTS. 1. Complexity. The Inherent Complexity of Software. The Structure of Complex Systems. Bringing Order to Chaos. On Designing Complex Systems. Sidebar: Categories of Analysis and Design Methods. 2. The Object Model. The Evolution of the Object Model. Elements of the Object Model. Applying the Object Model. Sidebar: Foundations of the Object Model. 3. Classes and Objects. The Nature of an Object. Relationships Among Objects. The Nature of a Class. Relationships Among Classes. The Interplay of Classes and Objects. On Building Quality Classes and Objects. Sidebar: Invoking a Method. 4. Classification. The Importance of Proper Classification. Identifying Classes and Objects. Key Abstractions and Mechanisms. Sidebar: A Problem of Classification. II. THE METHOD. 5 .The Notation. Elements of the Notation. Class Diagrams. State Transition Diagrams. Object Diagrams. Interaction Diagrams. Module Diagrams. Process Diagrams. Applying the Notation. 6 .The Process. First Principles. The Micro Development Process. The Macro Development Process. 7. Pragmatics. Management and Planning. Staffing. Release Management. Reuse. Quality Assurance and Metrics. Documentation. Tools. Special Topics. The Benefits and Risks of Object-Oriented Development. III. APPLICATIONS. 8. Data Acquisition: Weather Monitoring Station. Analysis. Design. Evolution. Maintenance. Sidebar: Weather Monitorint Station Requirements. 9. Frameworks: Foundation Class Library. Analysis. Design. Evolution. Maintenance. Sidebar: Foundation Class Library Requirements. 10. Client/Server Computing: Inventory Tracking. Analysis. Design. Evolution. Maintenance. Sidebar: Inventory Tracking System Requirements. 11. Artificial Intelligence Cryptanalysis. Analysis. Design. Evolution. Maintenance. Sidebar: Cryptanalysis Requirements. 12. Command and Control Traffic Management. Analysis. Design. Evolution. Maintenance. Sidebar: Traffic Management System Requirements. Afterword. Appendix: Object-Oriented Programming Languages. A.1 Concepts. A.2 Smalltalk. A.3 Object Pascal. A.4 C++. A.5 Common Lisp Object System. A.6 Ada. A.7 Eiffel. A.8 Other Object-Oriented Programming Languages. Notes. Glossary. Classified Bibliography. A. Classification. B. Object-Oriented Analysis. C. Object-Oriented Applications. D. Object-Oriented Architectures. E. Object Oriented Databases. F. Object-Oriented Design. G. Object-Oriented Programming. H. Software Engineering. I. Special References. J. Theory. K. Tools and Environments. Index. 0805353402T04062001

3,216 citations

Journal ArticleDOI
TL;DR: A new approach is proposed which works on range data directly and registers successive views with enough overlapping area to get an accurate transformation between views and is performed by minimizing a functional which does not require point-to-point matches.

2,850 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20231
20227
202163
2020163
2019191
2018188