Advancements in digital sensor technology, digital image analysis techniques, as well as computer software and hardware have brought together the fields of computer vision and photogrammetry, which are now converging towards sharing, to a great extent, objectives and algorithms. The potential for mutual benefits by the close collaboration and interaction of these two disciplines is great, as photogrammetric know-how can be aided by the most recent image analysis developments in computer vision, while modern quantitative photogrammetric approaches can support computer vision activities. Devising methodologies for automating the extraction of man-made objects (e.g. buildings, roads) from digital aerial or satellite imagery is an application where this cooperation and mutual support is already reaping benefits. The valuable spatial information collected using these interdisciplinary techniques is of improved qualitative and quantitative accuracy. This book offers a comprehensive selection of high-quality and in-depth contributions from world-wide leading research institutions, treating theoretical as well as implementational issues, and representing the state-of-the-art on this subject among the photogrammetric and computer vision communities.
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First Sentence:
Thirty years of research in image understanding (IU) have produced an enormous number of computer vision algorithms, many of which have demonstrated reliable performance at solving particular tasks in restricted domains. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
road tracer, radiometric prediction, pyramidal matching, road tracker algorithm, image support data, contour attributes, global selection criteria, rooftop polygon, abduction model, perspective projection matrices, epipolar matching, unknown projective transformation, building extraction, height interpolation, photorealistic texture, building detection, area based matching, road parameters, areal objects, contour relations, affine reconstruction, road extraction, projective basis, roof regions, residential scene Key Phrases - Capitalized Phrases (CAPs): (learn more)
Verlag Basel, Image Understanding Workshop, International Conference, Artificial Intelligence, New York, European Conference, Common Development Environment, Computer Science, Fort Hood, San Diego, Tasseled Cap, Using Context, Lecture Notes, Real Image, Springer Verlag, Army Topographic Engineering Center, Atlantic City, Computer Society Press, Detecting Buildings, Deutsche Forschungsgemeinschaft, Englewood Cliffs, Machine Vision Applications, Multiphoto Geometrically Constrained Matching, Prentice Hall, Santa Margherita Ligure New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Thirty years of research in image understanding (IU) have produced an enormous number of computer vision algorithms, many of which have demonstrated reliable performance at solving particular tasks in restricted domains. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
road tracer, radiometric prediction, pyramidal matching, road tracker algorithm, image support data, contour attributes, global selection criteria, rooftop polygon, abduction model, perspective projection matrices, epipolar matching, unknown projective transformation, building extraction, height interpolation, photorealistic texture, building detection, area based matching, road parameters, areal objects, contour relations, affine reconstruction, road extraction, projective basis, roof regions, residential scene Key Phrases - Capitalized Phrases (CAPs): (learn more)
Verlag Basel, Image Understanding Workshop, International Conference, Artificial Intelligence, New York, European Conference, Common Development Environment, Computer Science, Fort Hood, San Diego, Tasseled Cap, Using Context, Lecture Notes, Real Image, Springer Verlag, Army Topographic Engineering Center, Atlantic City, Computer Society Press, Detecting Buildings, Deutsche Forschungsgemeinschaft, Englewood Cliffs, Machine Vision Applications, Multiphoto Geometrically Constrained Matching, Prentice Hall, Santa Margherita Ligure New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 29
books:
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16
books
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- Remote Sensing: Symposium Proceedings by G. K. C. Pardoe on 6 pages
- Computer Vision by Dana H. Ballard on page 94, page 165, and page 255
- Space Images by Lustrum Press on page 169, and page 296
- Automatic Extraction of Man-Made Objects from Aerial and Space Images (II) (Monte Verita) (v. 2) by A. Gruen in Front Matter, and page 210
- Numerical Recipes: The Art of Scientific Computing by William H. Press on page 296
See all 29 books this book cites
- Automatic Extraction Man Made Objects (v. 3) by E.P. Baltsavias on 34 pages
- Pattern Recognition: 23rd DAGM Symposium, Munich, Germany, September 12-14, 2001. Proceedings (Lecture Notes in Computer Science) by Bernd Radig on page 52, and page 344
- Computer Vision Systems: Third International Conference, ICVS 2003, Graz, Austria, April 1-3, 2003, Proceedings (Lecture Notes in Computer Science) by James Crowley on page 170, and page 363
- 3D Synthetic Environment Reconstruction (The Springer International Series in Engineering and Computer Science) by Mahdi Abdelguerfi on page 99, and page 100
- Graphics Recognition: Algorithms and Systems: Second International Workshop, GREC'97, Nancy, France, August 22-23, 1997, Selected Papers (Lecture Notes in Computer Science) by Karl Tombre on page 256
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