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Computer Vision in the Infrared Spectrum: Challenges and Approaches by Michael T
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Item specifics
- Condition
- ISBN-13
- 9783031006982
- Book Title
- Computer Vision in the Infrared Spectrum
- ISBN
- 9783031006982
- Publication Year
- 2021
- Series
- Synthesis Lectures on Computer Vision Ser.
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Publication Name
- Computer Vision in the Infrared Spectrum : Challenges and Approaches
- Item Length
- 9.3in
- Publisher
- Springer International Publishing A&G
- Item Width
- 7.5in
- Item Weight
- 9.8 Oz
- Number of Pages
- X, 128 Pages
About this product
Product Information
Human visual perception is limited to the visual-optical spectrum. Machine vision is not. Cameras sensitive to the different infrared spectra can enhance the abilities of autonomous systems and visually perceive the environment in a holistic way. Relevant scene content can be made visible especially in situations, where sensors of other modalities face issues like a visual-optical camera that needs a source of illumination. As a consequence, not only human mistakes can be avoided by increasing the level of automation, but also machine-induced errors can be reduced that, for example, could make a self-driving car crash into a pedestrian under difficult illumination conditions. Furthermore, multi-spectral sensor systems with infrared imagery as one modality are a rich source of information and can provably increase the robustness of many autonomous systems. Applications that can benefit from utilizing infrared imagery range from robotics to automotive and from biometrics to surveillance. In this book, we provide a brief yet concise introduction to the current state-of-the-art of computer vision and machine learning in the infrared spectrum. Based on various popular computer vision tasks such as image enhancement, object detection, or object tracking, we first motivate each task starting from established literature in the visual-optical spectrum. Then, we discuss the differences between processing images and videos in the visual-optical spectrum and the various infrared spectra. An overview of the current literature is provided together with an outlook for each task. Furthermore, available and annotated public datasets and common evaluation methods and metrics are presented. In a separate chapter, popular applications that can greatly benefit from the use of infrared imagery as a data source are presented and discussed. Among them are automatic target recognition, video surveillance, or biometrics including face recognition. Finally, we conclude with recommendations for well-fitting sensor setups and data processing algorithms for certain computer vision tasks. We address this book to prospective researchers and engineers new to the field but also to anyone who wants to get introduced to the challenges and the approaches of computer vision using infrared images or videos. Readers will be able to start their work directly after reading the book supported by a highly comprehensive backlog of recent and relevant literature as well as related infrared datasets including existing evaluation frameworks. Together with consistently decreasing costs for infrared cameras, new fields of application appear and make computer vision in the infrared spectrum a great opportunity to face nowadays scientific and engineering challenges.
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-10
3031006984
ISBN-13
9783031006982
eBay Product ID (ePID)
25057268983
Product Key Features
Publication Name
Computer Vision in the Infrared Spectrum : Challenges and Approaches
Format
Trade Paperback
Language
English
Publication Year
2021
Series
Synthesis Lectures on Computer Vision Ser.
Type
Textbook
Number of Pages
X, 128 Pages
Dimensions
Item Length
9.3in
Item Width
7.5in
Item Weight
9.8 Oz
Additional Product Features
Number of Volumes
1 Vol.
Lc Classification Number
Ta1501-1820
Original Language
English
Table of Content
Introduction.- Cross-Spectral Image Processing.- Detection, Classification, and Tracking.- Applications.- Summary and Outlook.- Bibliography.- Authors' Biographies.
Copyright Date
2022
Topic
Computer Graphics, Computer Vision & Pattern Recognition
Illustrated
Yes
Genre
Computers
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eBay item number:386717672396
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