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Computer Vision International Edition Vital Source e-bog
David A. Forsyth og Jean Ponce
(2015)
Pearson International
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Computer Vision International Edition Vital Source e-bog
David A. Forsyth og Jean Ponce
(2015)
Pearson International
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Leveres umiddelbart efter køb
Computer Vision International Edition Vital Source e-bog
David A. Forsyth og Jean Ponce
(2015)
Pearson International
457,00 kr.
Leveres umiddelbart efter køb
Computer Vision: a Modern Approach
International Edition
David Forsyth og Jean Ponce
(2012)
Sprog: Engelsk
Pearson Education, Limited
1.045,00 kr.
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Detaljer om varen
- 2. Udgave
- Vital Source searchable e-book (Fixed pages): 792 sider
- Udgiver: Pearson International (Januar 2015)
- ISBN: 9781292014081
Appropriate for upper-division undergraduate- and graduate-level courses in computer vision found in departments of Computer Science, Computer Engineering and Electrical Engineering. This textbook provides the most complete treatment of modern computer vision methods by two of the leading authorities in the field. This accessible presentation gives both a general view of the entire computer vision enterprise and also offers sufficient detail for students to be able to build useful applications. Students will learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods.
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Detaljer om varen
- 2. Udgave
- Vital Source 90 day rentals (fixed pages): 792 sider
- Udgiver: Pearson International (Januar 2015)
- Forfattere: David A. Forsyth og Jean Ponce
- ISBN: 9781292014081R90
Appropriate for upper-division undergraduate- and graduate-level courses in computer vision found in departments of Computer Science, Computer Engineering and Electrical Engineering. This textbook provides the most complete treatment of modern computer vision methods by two of the leading authorities in the field. This accessible presentation gives both a general view of the entire computer vision enterprise and also offers sufficient detail for students to be able to build useful applications. Students will learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods.
Licens varighed:
Bookshelf online: 90 dage fra købsdato.
Bookshelf appen: 90 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
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Bookshelf online: 90 dage fra købsdato.
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Detaljer om varen
- 2. Udgave
- Vital Source 365 day rentals (fixed pages): 792 sider
- Udgiver: Pearson International (Januar 2015)
- Forfattere: David A. Forsyth og Jean Ponce
- ISBN: 9781292014081R365
Appropriate for upper-division undergraduate- and graduate-level courses in computer vision found in departments of Computer Science, Computer Engineering and Electrical Engineering. This textbook provides the most complete treatment of modern computer vision methods by two of the leading authorities in the field. This accessible presentation gives both a general view of the entire computer vision enterprise and also offers sufficient detail for students to be able to build useful applications. Students will learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods.
Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: 5 år fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
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Detaljer om varen
- 2. Udgave
- Vital Source 180 day rentals (fixed pages): 792 sider
- Udgiver: Pearson International (Januar 2015)
- Forfattere: David A. Forsyth og Jean Ponce
- ISBN: 9781292014081R180
Appropriate for upper-division undergraduate- and graduate-level courses in computer vision found in departments of Computer Science, Computer Engineering and Electrical Engineering. This textbook provides the most complete treatment of modern computer vision methods by two of the leading authorities in the field. This accessible presentation gives both a general view of the entire computer vision enterprise and also offers sufficient detail for students to be able to build useful applications. Students will learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods.
Licens varighed:
Bookshelf online: 180 dage fra købsdato.
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Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
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Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
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Detaljer om varen
- 2. Udgave
- Paperback: 792 sider
- Udgiver: Pearson Education, Limited (Februar 2012)
- Forfattere: David Forsyth og Jean Ponce
- ISBN: 9780273764144
Appropriate for upper-division undergraduate and graduate level courses in computer vision found in departments of computer science, computer engineering and electrical engineering, this book offers a treatment of modern computer vision methods.
I IMAGE FORMATION 1 1 Geometric Camera Models 3
1.1 Image Formation
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1.1.1 Pinhole Perspective
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1.1.2 Weak Perspective
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1.1.3 Cameras with Lenses
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1.1.4 The Human Eye
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1.2 Intrinsic and Extrinsic Parameters
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1.2.1 Rigid Transformations and Homogeneous Coordinates
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1.2.2 Intrinsic Parameters
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1.2.3 Extrinsic Parameters
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1.2.4 Perspective Projection Matrices
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1.2.5 Weak-Perspective Projection Matrices
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1.3 Geometric Camera Calibration
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1.3.1 ALinear Approach to Camera Calibration
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1.3.2 ANonlinear Approach to Camera Calibration
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1.4 Notes
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. 29 2 Light and Shading 32
2.1 Modelling Pixel Brightness
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. 32
2.1.1 Reflection at Surfaces
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2.1.2 Sources and Their Effects
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2.1.3 The Lambertian+Specular Model
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2.1.4 Area Sources
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. 36
2.2 Inference from Shading
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. 37
2.2.1 Radiometric Calibration and High Dynamic Range Images
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2.2.2 The Shape of Specularities
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2.2.3 Inferring Lightness and Illumination
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2.2.4 Photometric Stereo: Shape from Multiple Shaded Images
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2.3 Modelling Interreflection
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. 52
2.3.1 The Illumination at a Patch Due to an Area Source
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2.3.2 Radiosity and Exitance
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. 54
2.3.3 An Interreflection Model
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. 55
2.3.4 Qualitative Properties of Interreflections
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. 56
2.4 Shape from One Shaded Image
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. 59
2.5 Notes
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. 61 3 Color 68
3.1 Human Color Perception
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. 68
3.1.1 Color Matching
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. 68
3.1.2 Color Receptors
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. 71
3.2 The Physics of Color
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. 73
3.2.1 The Color of Light Sources
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. 73
3.2.2 The Color of Surfaces
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. 76
3.3 Representing Color
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. 77
3.3.1 Linear Color Spaces
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. 77
3.3.2 Non-linear Color Spaces
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. 83
3.4 AModel of Image Color
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. 86
3.4.1 The Diffuse Term
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. 88
3.4.2 The Specular Term
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. 90
3.5 Inference from Color
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. 90
3.5.1 Finding Specularities Using Color
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. 90
3.5.2 Shadow Removal Using Color
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. 92
3.5.3 Color Constancy: Surface Color from Image Color
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. 95
3.6 Notes
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. 99 II EARLY VISION: JUST ONE IMAGE 105 4 Linear Filter
1.1 Image Formation
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. 4
1.1.1 Pinhole Perspective
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. 4
1.1.2 Weak Perspective
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. 6
1.1.3 Cameras with Lenses
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. 8
1.1.4 The Human Eye
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. 12
1.2 Intrinsic and Extrinsic Parameters
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1.2.1 Rigid Transformations and Homogeneous Coordinates
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1.2.2 Intrinsic Parameters
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. 16
1.2.3 Extrinsic Parameters
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. 18
1.2.4 Perspective Projection Matrices
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. 19
1.2.5 Weak-Perspective Projection Matrices
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. 20
1.3 Geometric Camera Calibration
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. 22
1.3.1 ALinear Approach to Camera Calibration
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. 23
1.3.2 ANonlinear Approach to Camera Calibration
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. 27
1.4 Notes
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. 29 2 Light and Shading 32
2.1 Modelling Pixel Brightness
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. 32
2.1.1 Reflection at Surfaces
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. 33
2.1.2 Sources and Their Effects
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. 34
2.1.3 The Lambertian+Specular Model
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. 36
2.1.4 Area Sources
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. 36
2.2 Inference from Shading
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. 37
2.2.1 Radiometric Calibration and High Dynamic Range Images
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2.2.2 The Shape of Specularities
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. 40
2.2.3 Inferring Lightness and Illumination
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2.2.4 Photometric Stereo: Shape from Multiple Shaded Images
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2.3 Modelling Interreflection
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. 52
2.3.1 The Illumination at a Patch Due to an Area Source
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2.3.2 Radiosity and Exitance
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. 54
2.3.3 An Interreflection Model
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. 55
2.3.4 Qualitative Properties of Interreflections
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. 56
2.4 Shape from One Shaded Image
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. 59
2.5 Notes
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. 61 3 Color 68
3.1 Human Color Perception
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. 68
3.1.1 Color Matching
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. 68
3.1.2 Color Receptors
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. 71
3.2 The Physics of Color
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3.2.1 The Color of Light Sources
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3.2.2 The Color of Surfaces
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3.3 Representing Color
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3.3.1 Linear Color Spaces
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3.3.2 Non-linear Color Spaces
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3.4 AModel of Image Color
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3.4.1 The Diffuse Term
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3.4.2 The Specular Term
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3.5 Inference from Color
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3.5.1 Finding Specularities Using Color
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3.5.2 Shadow Removal Using Color
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3.5.3 Color Constancy: Surface Color from Image Color
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3.6 Notes
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. 99 II EARLY VISION: JUST ONE IMAGE 105 4 Linear Filter
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