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Techniques for 3-D machine perception /
Techniques for 3-D Machine Perception.
| Clasificación: | Libro Electrónico |
|---|---|
| Autores Corporativos: | , |
| Otros Autores: | |
| Formato: | Electrónico Congresos, conferencias eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; New York : New York, N.Y., U.S.A. :
North-Holland ; Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co.,
1986.
|
| Colección: | Machine intelligence and pattern recognition ;
v. 3. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 005 | 20231117044434.0 | ||
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| 008 | 100810s1986 ne a ob 100 0 eng d | ||
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| 020 | |z 0444879013 |q (U.S.) | ||
| 020 | |z 9780444879011 |q (U.S.) | ||
| 035 | |a (OCoLC)654474674 |z (OCoLC)1162562341 |z (OCoLC)1200562813 |z (OCoLC)1397687845 | ||
| 050 | 4 | |a TA1632 |b .T44 1986 | |
| 050 | 4 | |a Q334 |b .T42 1986 | |
| 082 | 0 | 4 | |a 006.4 |2 19 |
| 084 | |a 54.72 |2 bcl | ||
| 084 | |a SS 1983 |2 rvk | ||
| 084 | |a ST 282 |2 rvk | ||
| 245 | 0 | 0 | |a Techniques for 3-D machine perception / |c edited by Azriel Rosenfeld. |
| 260 | |a Amsterdam ; |a New York : |b North-Holland ; |a New York, N.Y., U.S.A. : |b Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co., |c 1986. | ||
| 300 | |a 1 online resource (viii, 320 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Machine intelligence and pattern recognition ; |v v. 3 | |
| 504 | |a Includes bibliographical references. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Front Cover; Techniques for 3-D Machine Perception; Copyright Page; PREFACE; Table of Contents; CHAPTER 1. EXPERIMENTAL IMPLEMENTATION OF A RATIO IMAGE DEPTH SENSOR; I. Introduction; II. Principle of the Ratio Image Depth Sensor; III. The Experimental Implementation; IV. Analysis of Experimental Uncertainty; V. Representative Results; VI. Summary; References; CHAPTER 2. THE REPRESENTATION, RECOGNITION, AND POSITIONING OF 3-D SHAPES FROM RANGE DATA; 1. Introduction; 2. Representing 3-D shapes; 3. Recognition and positioning; 4. Conclusion; Acknowledgements; References | |
| 505 | 8 | |a CHAPTER 3. STEREO VISION FOR THE ACQUISITION AND TRACKING OF MOVING THREE-DIMENSIONAL OBJECTS1. INTRODUCTION; 2. OVERVIEW OF ACQUISITION AND TRACKING; 3. APPROACH TO MOTION STEREO PROBLEM; 4. SCALE FACTOR AND BIAS; 5. MOTION STEREO SOLUTION; 6. COMPUTATION OF FEATURE POSITIONS AND UNCERTAINTIES; 7. EXAMPLE OF MOTION STEREO SOLUTION; ACKNOWLEDGMENTS; REFERENCES; CHAPTER 4. COMPUTING STEREOPSIS USING FEATURE POINT CONTOUR MATCHING; 1. Introduction; 2. The Marr-Poggio Stereo Model; 3. A Modified Marr-Poggio Stereo Matcher; 4. Examples; 5. Discussion; Acknowledgments; References | |
| 505 | 8 | |a CHAPTER 5. MODEL-BASED RECOGNITION AND LOCALIZATION FROM SPARSE RANGE DATA1. The Problem and the Approach; 2. Generating Feasible Interpretations; 3. Model Testing; 4. Simulation Data; 5. Performance on Range Data; 6. Discussion; Acknowledgments; References; Appendix I; Appendix II; CHAPTER 6. REPRESENTATION AND INCREMENTAL CONSTRUCTION OF A THREE-DIMENSIONAL SCENE MODEL; 1. Introduction; 2. Description of System; 3. Representing and Manipulating the 3D Scene Model; 4. Modifications to the 3D Scene Model; 5. Constructing and Updating the 3D Scene Model; 6. Knowledge of Planar-Faced Objects | |
| 505 | 8 | |a 7. Knowledge of Urban Scenes8. Combining New Views with Current Model; 9. Summary; Acknowledgement; References; CHAPTER 7. KNOWLEDGE-BASED STEREO AND STRUCTURED LIGHT FOR 3-D ROBOT VISION; 1. INTRODUCTION; 2. SYSTEM OVERVIEW OF THE KNOWLEDGE-BASED VISION SYSTEM; 3. OBJECT RECOGNITION; 4. STEREOSCOPIC POSITION DETERMINATION; 5. RANGE MAPPING BY STRUCTURED LIGHT; 6. INTERPRETATION OF STRUCTURED-LIGHT RANGE DATA; 8. BIBLIOGRAPHICAL NOTES; 9. REFERENCES; CHAPTER 8. MODEL BASED INTERPRETATION OF 3-D RANGE DATA; INTRODUCTION; OBJECT MODELING; MODEL PREDICTION; 3-D FEATURE EXTRACTION | |
| 505 | 8 | |a FEATURE TO MODEL MATCHINGCONCLUSIONS; REFERENCES; CHAPTER 9. MULTIPLE RESOLUTION SEARCH TECHNIQUES FOR THE HOUGH TRANSFORM IN HIGH DIMENSIONAL PARAMETER SPACES; 1. Introduction; 2. The Standard Hough Transform; 3. Two New Methods: Recursive Lattice Search and Resolution Hill Climbing; 4. Gradient Information; 5. More Abstract Problems: Recognizing Symmetries; 6. Results; 7. Conclusion; References; Appendices; CHAPTER 10. THE USE OF NUMERICAL RELATIONAL DISTANCE AND SYMBOLIC DIFFERENCES FOR ORGANIZING MODELS AND FOR MATCHING; I. Introduction; II. Relational Models and Relational Distance | |
| 520 | |a Techniques for 3-D Machine Perception. | ||
| 650 | 0 | |a Computer vision |v Congresses. | |
| 650 | 0 | |a Three-dimensional display systems |v Congresses. | |
| 650 | 0 | |a Artificial intelligence |v Congresses. | |
| 650 | 0 | |a Image processing |v Congresses. | |
| 650 | 0 | |a Depth perception |x Congresses. | |
| 650 | 0 | |a Pattern recognition systems |v Congresses. | |
| 650 | 6 | |a Intelligence artificielle |0 (CaQQLa)201-0008626 |v Congr�es. |0 (CaQQLa)201-0378219 | |
| 650 | 6 | |a Traitement d'images |0 (CaQQLa)201-0029952 |v Congr�es. |0 (CaQQLa)201-0378219 | |
| 650 | 6 | |a Perception de la profondeur |0 (CaQQLa)201-0070816 |x Congr�es. |0 (CaQQLa)201-0378208 | |
| 650 | 6 | |a Reconnaissance des formes (Informatique) |0 (CaQQLa)201-0028094 |v Congr�es. |0 (CaQQLa)201-0378219 | |
| 650 | 6 | |a Vision par ordinateur |0 (CaQQLa)201-0074889 |v Congr�es. |0 (CaQQLa)201-0378219 | |
| 650 | 6 | |a Affichage tridimensionnel |0 (CaQQLa)201-0036051 |v Congr�es. |0 (CaQQLa)201-0378219 | |
| 650 | 7 | |a Pattern recognition systems |2 fast |0 (OCoLC)fst01055266 | |
| 650 | 7 | |a Image processing |2 fast |0 (OCoLC)fst00967501 | |
| 650 | 7 | |a Depth perception |2 fast |0 (OCoLC)fst00890993 | |
| 650 | 7 | |a Artificial intelligence |2 fast |0 (OCoLC)fst00817247 | |
| 650 | 7 | |a Computer vision |2 fast |0 (OCoLC)fst00872687 | |
| 650 | 7 | |a Three-dimensional display systems |2 fast |0 (OCoLC)fst01150324 | |
| 650 | 7 | |a Computer |2 gnd |0 (DE-588)4070083-5 | |
| 650 | 7 | |a Kongress |2 gnd |0 (DE-588)4130470-6 | |
| 650 | 7 | |a R�aumliches Sehen |2 gnd |0 (DE-588)4057325-4 | |
| 650 | 1 | 7 | |a Kunstmatige intelligentie. |2 gtt |
| 650 | 1 | 7 | |a Patroonherkenning. |2 gtt |
| 650 | 1 | 7 | |a Driedimensionale afbeeldingen. |2 gtt |
| 653 | |a Computer systems |a Graphic displays |a Three-dimensional images | ||
| 655 | 2 | |a Congress |0 (DNLM)D016423 | |
| 655 | 7 | |a proceedings (reports) |2 aat |0 (CStmoGRI)aatgf300027316 | |
| 655 | 7 | |a Conference papers and proceedings |2 fast |0 (OCoLC)fst01423772 | |
| 655 | 7 | |a Conference papers and proceedings. |2 lcgft | |
| 655 | 7 | |a Actes de congr�es. |2 rvmgf |0 (CaQQLa)RVMGF-000001049 | |
| 655 | 7 | |a Kongress. |2 swd | |
| 700 | 1 | |a Rosenfeld, Azriel, |d 1931- | |
| 711 | 2 | |a Workshop on 3-D Machine Vision |d (1983 : |c Washington, D.C.) | |
| 711 | 2 | |a National Conference on Artificial Intelligence |d (1983 : |c Washington, D.C.) | |
| 776 | 0 | 8 | |i Print version: |w (DLC) 85021736 |w (OCoLC)12663811 |
| 830 | 0 | |a Machine intelligence and pattern recognition ; |v v. 3. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780444879011 |z Texto completo |