Computer vision: algorithms and applications. Szeliski, Richard
Material type:
TextPublication details: Cham: Springer, 2022.Edition: 2nd EditionDescription: xxii, 925p.: ill. (col.) 28cmISBN: - 9783030343743
- TA1634 .S94 2022
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Zetech Library - Mang'u Campus General Stacks | TA1634 .S94 2022 (Browse shelf(Opens below)) | Available | Z012395 | ||
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Zetech Library - Ruiru Campus General Stacks | TA1634 .S94 2022 (Browse shelf(Opens below)) | C2 | Available | Z012613 |
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| TA1520 .S25 2019 Fundamentals of photonics / | TA1520 .S25 2019 Fundamentals of photonics / | TA1634 .G65 2019 Learning computer vision using open CV : with deep learning CNNs and RNNs / | TA1634 .S94 2022 Computer vision: algorithms and applications. | TA1634 .T67 2024 Foundations of computer vision / | TA1750 .R64 2009 Essentials of photonics / | TH4860 .W55 2006 Your green home : a guide to planning a healthy, environmentally friendly new home / |
Includes bibliographical references and indexes.
1 Introduction.- 2 Image Formation.- 3 Image Processing.- 4 Model Fitting and Optimization.- 5 Deep Learning.- 6 Recognition.- 7 Feature Detection and Matching.- 8 Image Alignment and Stitching.- 9 Motion Estimation.- 10 Computational Photography.- 11 Structure from Motion and SLAM.- 12 Depth Estimation.- 13 3D Reconstruction.- 14 Image-Based Rendering.- 15 Conclusion.- Appendix A: Linear Algebra and Numerical Techniques.
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