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Digital imaging for cultural heritag...

Battiato, Sebastiano.

Digital imaging for cultural heritage preservation[electronic resource] :analysis, restoration, and reconstruction of ancient artworks /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	702.8/8
書名/作者:	Digital imaging for cultural heritage preservation : analysis, restoration, and reconstruction of ancient artworks // Filippo Stanco, Sebastiano Battiato, Giovanni Gallo.
作者:	Stanco, Filippo.
其他作者:	Battiato, Sebastiano.
出版者:	Boca Raton, FL : : CRC Press,, ©2011.
面頁冊數:	1 online resource (xv, 487 p., [20] p. of plates) : : ill. (some col.)
標題:	Imaging systems.
標題:	Image processing - Digital techniques.
標題:	Cultural property - Protection.
ISBN:	1439821747 (electronic bk.)
ISBN:	9781439821749 (electronic bk.)
書目註:	Includes bibliographical references and index.
內容註:	Note continued: 12.3.6. Vessel Reconstruction by Matching Axis/Profile Curve Models -- 12.4. Vessel Reconstruction by Sherd Matching: 3D Puzzle Solving -- 12.4.1. The Bayesian Formulation -- 12.4.2. Searching for the Solution -- 12.5. Current Trends in Computational Artifact Reconstruction -- 12.5.1. Going beyond Geometry: Textures and Patterns on Sherd Surfaces -- 12.5.2. Discussion and Future Work -- 12.5.3. Conclusion -- Acknowledgments -- Bibliography -- 13. Digital Reconstruction and Mosaicing of Cultural Artifacts / Ioannis Pitas -- 13.1. Introduction -- 13.2. The Three-Step Object Reconstruction Procedure -- 13.2.1. Fragment Preprocessing -- 13.2.2. Matching of Candidate Adjacent Fragments -- 13.2.3. Multi-Fragment Merging -- 13.3. Approaches for Object Reconstruction -- 13.3.1. Torn by Hand Document Reassembly -- 13.3.2.3D Objects Reconstruction -- 13.3.3.2D Puzzles Reassembly -- 13.3.4.2D Objects Reassembly -- 13.4. Automatic Color-Based Reassembly of Fragmented Images and Paintings -- 13.4.1. Discovery of Adjacent Image Fragments -- 13.4.2. Discovery of Matching Contour Segments of Adjacent Image Fragments -- 13.4.3. Contour Alignment of Fragments -- 13.4.4. Overall Image Reassembly -- 13.4.5. Image Reassembly Experiments -- 13.5. Reduced Complexity Image Mosaicing Utilizing Spanning Trees -- 13.5.1. Two-Image Mosaicing -- 13.5.2. Spanning Tree Mosaicing -- 13.5.3. Sub-Graph Spanning Tree Mosaicing -- 13.5.4. Experimental Evaluation -- 13.6. Conclusions -- Bibliography -- 14. Analysis of Ancient Mosaic Images for Dedicated Applications / Stephane Derrode -- 14.1. Introduction -- 14.1.1. Some Historical Facts about Mosaics -- 14.1.2. Mosaics, Images, and Digital Applications -- 14.2. Recent Image-Processing Projects Concerned with Mosaics -- 14.2.1. St. Vitus Cathedral Mosaic Restoration -- 14.2.2. Arabo-Moresque and Islamic Mosaic Pattern Classification -- 14.2.3. Roman Mosaics Indexation -- 14.3. Tesserae Extraction -- 14.4. Tessera-Based Segmentation and Coding -- 14.4.1. Segmentation of Ancient Mosaic Images -- 14.4.2. Tessera-Based Coding and Lossy Compression -- 14.5. Guidelines Estimation for Mosaic Structure Retrieval -- 14.6. Open Issues and Research Directions in Mosaic Image Analysis -- Bibliography -- 15. Digital Reproduction of Ancient Mosaics / Gianpiero Di Blasi -- 15.1. Art and Computer Graphics -- 15.2. History of Ancient Mosaics -- 15.3. The Digital Mosaic Problem -- 15.4. The Crystallization Mosaics -- 15.5. The Ancient Mosaics -- 15.6. The Ancient Mosaics in a 3D Environment -- 15.7. Final Discussions -- 15.7.1. Final Summary -- Bibliography -- 16. Pattern Discovery from Eroded Rock Art / Yang Cai -- 16.1. Introduction -- 16.2. Surface Imaging Methods -- 16.2.1. Laser Scan -- 16.2.2. Pattern Projection -- 16.2.3. Stick Shadow -- 16.2.4. Multiview Imaging -- 16.2.5. Polynomial Texture Maps (PTM) -- 16.3. Pattern Discovery Methods -- 16.3.1. Simulated Lighting -- 16.3.2. Data Transformation -- 16.3.3. Transformation Examples -- 16.3.4. Off-Line Handwriting Recognition -- 16.3.5. Interactive versus Automatic Discovery -- 16.4. From Reconstruction to Knowledge -- 16.5. Interaction Design -- 16.6. Conclusions -- Acknowledgments -- Bibliography -- 17. Copyright Protection of Digital Images of Cultural Heritage / Francesca Uccheddu -- 17.1. Introduction -- 17.1.1.A Brief History of Watermarking -- 17.1.2. Watermarking Basics -- 17.1.3. Watermarking Application Scenarios -- 17.2.2D Watermarking -- 17.2.1. Capacity -- 17.2.2. Insertion of Multiple Watermarking Codes -- 17.2.3. Robustness -- 17.2.4. Blind and Non-Blind Techniques -- 17.2.5. Private and Public Techniques -- 17.2.6. Readable and Detectable Watermarks -- 17.2.7. Invertibility and Quasi-Invertibility -- 17.2.8. Reversibility -- 17.2.9. Asymmetry -- 17.2.10. Examples -- 17.3.3D Watermarking -- 17.3.1. Requirements -- 17.3.2.3D Objects Representation -- 17.3.3. State of the Art -- 17.4. Conclusions -- Bibliography.
摘要、提要註:	"This edition presents the most prominent topics and applications of digital image processing, analysis, and computer graphics in the field of cultural heritage preservation. The text assumes prior knowledge of digital image processing and computer graphics fundamentals. Each chapter contains a table of contents, illustrations, and figures that elucidate the presented concepts in detail, as well as a chapter summary and a bibliography for further reading. Well-known experts cover a wide range of topics and related applications, including spectral imaging, automated restoration, computational reconstruction, digital reproduction, and 3D models"--Provided by publisher.
電子資源:	http://www.crcnetbase.com/doi/book/10.1201/b11049

Digital imaging for cultural heritage preservation[electronic resource] :analysis, restoration, and reconstruction of ancient artworks /
Stanco, Filippo.

Digital imaging for cultural heritage preservationanalysis, restoration, and reconstruction of ancient artworks /[electronic resource] :Filippo Stanco, Sebastiano Battiato, Giovanni Gallo. - Boca Raton, FL :CRC Press,©2011. - 1 online resource (xv, 487 p., [20] p. of plates) :ill. (some col.) - Digital imaging and computer vision series. - Digital imaging and computer vision series..

Includes bibliographical references and index.

Note continued: 12.3.6. Vessel Reconstruction by Matching Axis/Profile Curve Models -- 12.4. Vessel Reconstruction by Sherd Matching: 3D Puzzle Solving -- 12.4.1. The Bayesian Formulation -- 12.4.2. Searching for the Solution -- 12.5. Current Trends in Computational Artifact Reconstruction -- 12.5.1. Going beyond Geometry: Textures and Patterns on Sherd Surfaces -- 12.5.2. Discussion and Future Work -- 12.5.3. Conclusion -- Acknowledgments -- Bibliography -- 13. Digital Reconstruction and Mosaicing of Cultural Artifacts / Ioannis Pitas -- 13.1. Introduction -- 13.2. The Three-Step Object Reconstruction Procedure -- 13.2.1. Fragment Preprocessing -- 13.2.2. Matching of Candidate Adjacent Fragments -- 13.2.3. Multi-Fragment Merging -- 13.3. Approaches for Object Reconstruction -- 13.3.1. Torn by Hand Document Reassembly -- 13.3.2.3D Objects Reconstruction -- 13.3.3.2D Puzzles Reassembly -- 13.3.4.2D Objects Reassembly -- 13.4. Automatic Color-Based Reassembly of Fragmented Images and Paintings -- 13.4.1. Discovery of Adjacent Image Fragments -- 13.4.2. Discovery of Matching Contour Segments of Adjacent Image Fragments -- 13.4.3. Contour Alignment of Fragments -- 13.4.4. Overall Image Reassembly -- 13.4.5. Image Reassembly Experiments -- 13.5. Reduced Complexity Image Mosaicing Utilizing Spanning Trees -- 13.5.1. Two-Image Mosaicing -- 13.5.2. Spanning Tree Mosaicing -- 13.5.3. Sub-Graph Spanning Tree Mosaicing -- 13.5.4. Experimental Evaluation -- 13.6. Conclusions -- Bibliography -- 14. Analysis of Ancient Mosaic Images for Dedicated Applications / Stephane Derrode -- 14.1. Introduction -- 14.1.1. Some Historical Facts about Mosaics -- 14.1.2. Mosaics, Images, and Digital Applications -- 14.2. Recent Image-Processing Projects Concerned with Mosaics -- 14.2.1. St. Vitus Cathedral Mosaic Restoration -- 14.2.2. Arabo-Moresque and Islamic Mosaic Pattern Classification -- 14.2.3. Roman Mosaics Indexation -- 14.3. Tesserae Extraction -- 14.4. Tessera-Based Segmentation and Coding -- 14.4.1. Segmentation of Ancient Mosaic Images -- 14.4.2. Tessera-Based Coding and Lossy Compression -- 14.5. Guidelines Estimation for Mosaic Structure Retrieval -- 14.6. Open Issues and Research Directions in Mosaic Image Analysis -- Bibliography -- 15. Digital Reproduction of Ancient Mosaics / Gianpiero Di Blasi -- 15.1. Art and Computer Graphics -- 15.2. History of Ancient Mosaics -- 15.3. The Digital Mosaic Problem -- 15.4. The Crystallization Mosaics -- 15.5. The Ancient Mosaics -- 15.6. The Ancient Mosaics in a 3D Environment -- 15.7. Final Discussions -- 15.7.1. Final Summary -- Bibliography -- 16. Pattern Discovery from Eroded Rock Art / Yang Cai -- 16.1. Introduction -- 16.2. Surface Imaging Methods -- 16.2.1. Laser Scan -- 16.2.2. Pattern Projection -- 16.2.3. Stick Shadow -- 16.2.4. Multiview Imaging -- 16.2.5. Polynomial Texture Maps (PTM) -- 16.3. Pattern Discovery Methods -- 16.3.1. Simulated Lighting -- 16.3.2. Data Transformation -- 16.3.3. Transformation Examples -- 16.3.4. Off-Line Handwriting Recognition -- 16.3.5. Interactive versus Automatic Discovery -- 16.4. From Reconstruction to Knowledge -- 16.5. Interaction Design -- 16.6. Conclusions -- Acknowledgments -- Bibliography -- 17. Copyright Protection of Digital Images of Cultural Heritage / Francesca Uccheddu -- 17.1. Introduction -- 17.1.1.A Brief History of Watermarking -- 17.1.2. Watermarking Basics -- 17.1.3. Watermarking Application Scenarios -- 17.2.2D Watermarking -- 17.2.1. Capacity -- 17.2.2. Insertion of Multiple Watermarking Codes -- 17.2.3. Robustness -- 17.2.4. Blind and Non-Blind Techniques -- 17.2.5. Private and Public Techniques -- 17.2.6. Readable and Detectable Watermarks -- 17.2.7. Invertibility and Quasi-Invertibility -- 17.2.8. Reversibility -- 17.2.9. Asymmetry -- 17.2.10. Examples -- 17.3.3D Watermarking -- 17.3.1. Requirements -- 17.3.2.3D Objects Representation -- 17.3.3. State of the Art -- 17.4. Conclusions -- Bibliography.

"This edition presents the most prominent topics and applications of digital image processing, analysis, and computer graphics in the field of cultural heritage preservation. The text assumes prior knowledge of digital image processing and computer graphics fundamentals. Each chapter contains a table of contents, illustrations, and figures that elucidate the presented concepts in detail, as well as a chapter summary and a bibliography for further reading. Well-known experts cover a wide range of topics and related applications, including spectral imaging, automated restoration, computational reconstruction, digital reproduction, and 3D models"--Provided by publisher.

ISBN: 1439821747 (electronic bk.)Subjects--Topical Terms:

419033
Imaging systems.

LC Class. No.: TK8315 / .S87 2011

Dewey Class. No.: 702.8/8

Digital imaging for cultural heritage preservation[electronic resource] :analysis, restoration, and reconstruction of ancient artworks /
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020 $z 9781439821732 (hardback)
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035 $a (OCoLC)759037102 $z (OCoLC)758997730 $z (OCoLC)759865840
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050 4 $a TK8315 $b .S87 2011
082 0 4 $a 702.8/8 $2 23
100 1 $a Stanco, Filippo. $3 587323
245 1 0 $a Digital imaging for cultural heritage preservation $h [electronic resource] : $b analysis, restoration, and reconstruction of ancient artworks / $c Filippo Stanco, Sebastiano Battiato, Giovanni Gallo.
260 $a Boca Raton, FL : $b CRC Press, $c ©2011.
300 $a 1 online resource (xv, 487 p., [20] p. of plates) : $b ill. (some col.)
490 1 $a Digital imaging and computer vision series
504 $a Includes bibliographical references and index.
505 0 $a Note continued: 12.3.6. Vessel Reconstruction by Matching Axis/Profile Curve Models -- 12.4. Vessel Reconstruction by Sherd Matching: 3D Puzzle Solving -- 12.4.1. The Bayesian Formulation -- 12.4.2. Searching for the Solution -- 12.5. Current Trends in Computational Artifact Reconstruction -- 12.5.1. Going beyond Geometry: Textures and Patterns on Sherd Surfaces -- 12.5.2. Discussion and Future Work -- 12.5.3. Conclusion -- Acknowledgments -- Bibliography -- 13. Digital Reconstruction and Mosaicing of Cultural Artifacts / Ioannis Pitas -- 13.1. Introduction -- 13.2. The Three-Step Object Reconstruction Procedure -- 13.2.1. Fragment Preprocessing -- 13.2.2. Matching of Candidate Adjacent Fragments -- 13.2.3. Multi-Fragment Merging -- 13.3. Approaches for Object Reconstruction -- 13.3.1. Torn by Hand Document Reassembly -- 13.3.2.3D Objects Reconstruction -- 13.3.3.2D Puzzles Reassembly -- 13.3.4.2D Objects Reassembly -- 13.4. Automatic Color-Based Reassembly of Fragmented Images and Paintings -- 13.4.1. Discovery of Adjacent Image Fragments -- 13.4.2. Discovery of Matching Contour Segments of Adjacent Image Fragments -- 13.4.3. Contour Alignment of Fragments -- 13.4.4. Overall Image Reassembly -- 13.4.5. Image Reassembly Experiments -- 13.5. Reduced Complexity Image Mosaicing Utilizing Spanning Trees -- 13.5.1. Two-Image Mosaicing -- 13.5.2. Spanning Tree Mosaicing -- 13.5.3. Sub-Graph Spanning Tree Mosaicing -- 13.5.4. Experimental Evaluation -- 13.6. Conclusions -- Bibliography -- 14. Analysis of Ancient Mosaic Images for Dedicated Applications / Stephane Derrode -- 14.1. Introduction -- 14.1.1. Some Historical Facts about Mosaics -- 14.1.2. Mosaics, Images, and Digital Applications -- 14.2. Recent Image-Processing Projects Concerned with Mosaics -- 14.2.1. St. Vitus Cathedral Mosaic Restoration -- 14.2.2. Arabo-Moresque and Islamic Mosaic Pattern Classification -- 14.2.3. Roman Mosaics Indexation -- 14.3. Tesserae Extraction -- 14.4. Tessera-Based Segmentation and Coding -- 14.4.1. Segmentation of Ancient Mosaic Images -- 14.4.2. Tessera-Based Coding and Lossy Compression -- 14.5. Guidelines Estimation for Mosaic Structure Retrieval -- 14.6. Open Issues and Research Directions in Mosaic Image Analysis -- Bibliography -- 15. Digital Reproduction of Ancient Mosaics / Gianpiero Di Blasi -- 15.1. Art and Computer Graphics -- 15.2. History of Ancient Mosaics -- 15.3. The Digital Mosaic Problem -- 15.4. The Crystallization Mosaics -- 15.5. The Ancient Mosaics -- 15.6. The Ancient Mosaics in a 3D Environment -- 15.7. Final Discussions -- 15.7.1. Final Summary -- Bibliography -- 16. Pattern Discovery from Eroded Rock Art / Yang Cai -- 16.1. Introduction -- 16.2. Surface Imaging Methods -- 16.2.1. Laser Scan -- 16.2.2. Pattern Projection -- 16.2.3. Stick Shadow -- 16.2.4. Multiview Imaging -- 16.2.5. Polynomial Texture Maps (PTM) -- 16.3. Pattern Discovery Methods -- 16.3.1. Simulated Lighting -- 16.3.2. Data Transformation -- 16.3.3. Transformation Examples -- 16.3.4. Off-Line Handwriting Recognition -- 16.3.5. Interactive versus Automatic Discovery -- 16.4. From Reconstruction to Knowledge -- 16.5. Interaction Design -- 16.6. Conclusions -- Acknowledgments -- Bibliography -- 17. Copyright Protection of Digital Images of Cultural Heritage / Francesca Uccheddu -- 17.1. Introduction -- 17.1.1.A Brief History of Watermarking -- 17.1.2. Watermarking Basics -- 17.1.3. Watermarking Application Scenarios -- 17.2.2D Watermarking -- 17.2.1. Capacity -- 17.2.2. Insertion of Multiple Watermarking Codes -- 17.2.3. Robustness -- 17.2.4. Blind and Non-Blind Techniques -- 17.2.5. Private and Public Techniques -- 17.2.6. Readable and Detectable Watermarks -- 17.2.7. Invertibility and Quasi-Invertibility -- 17.2.8. Reversibility -- 17.2.9. Asymmetry -- 17.2.10. Examples -- 17.3.3D Watermarking -- 17.3.1. Requirements -- 17.3.2.3D Objects Representation -- 17.3.3. State of the Art -- 17.4. Conclusions -- Bibliography.
520 $a "This edition presents the most prominent topics and applications of digital image processing, analysis, and computer graphics in the field of cultural heritage preservation. The text assumes prior knowledge of digital image processing and computer graphics fundamentals. Each chapter contains a table of contents, illustrations, and figures that elucidate the presented concepts in detail, as well as a chapter summary and a bibliography for further reading. Well-known experts cover a wide range of topics and related applications, including spectral imaging, automated restoration, computational reconstruction, digital reproduction, and 3D models"--Provided by publisher.
520 $a "Preface Paintings, frescos, antique photographic prints, incunabulas, old books, handwritten documents, sculptures, ceramic fragments and other ancient manufacts constitute the elements of an extremely valuable and immense historical patrimony. Their digitalization opens up the possibility to use various image processing and analysis and Computer Graphics techniques to preserve this Cultural Heritage for future generations. Digital imaging solutions can be used to generate virtually restored versions of the original artworks to be presented in online museums and/or for further development of historical studies. Application of various feature extraction and image data analysis techniques is useful to address problems of authorship and artwork style categorization in the history of arts. Three-dimensional reconstruction of ancient artworks or entire archeological sites allows the creation of multidimensional models that incorporate information coming from excavations, archaeological knowhow and heterogeneous historical sources. Pioneer work in this area has sprung from the close, but too often occasional, cooperation of scientists with historians and archaeologists"--Provided by publisher.
650 0 $a Imaging systems. $3 419033
650 0 $a Image processing $x Digital techniques. $3 365611
650 0 $a Cultural property $x Protection. $3 383902
700 1 $a Battiato, Sebastiano. $3 491661
700 1 $a Gallo, Giovanni, $d 1962- $3 587324
830 0 $a Digital imaging and computer vision series. $3 558624
856 4 0 $u http://www.crcnetbase.com/doi/book/10.1201/b11049

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