23 OCT 2025 - We are back! If you have been following us over the last few years, you will know that the last 2 months have been rough. We website was practically not loading. Sorry for the mess. We are back though and everything should run smoothly now. New servers. Updated domains. And new owners. We invite you all to start uploading torrents again!
TORRENT DETAILS
Teutsch M. Computer Vision In The Infrared Spectrum 2022
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. With this book, you’ll learn to Navigate your way around your smartphone so you can easily open and close apps, access info, and see photos Read your email and messages so you can stay in touch with the important people in your life Secure your phone so you can be assured that you, and only you, can access the sensitive data on it Introduction Image and Video Enhancement Cross-Spectral Image Processing Detection, Classification, and Tracking Applications Summary and Outlook
VISITOR COMMENTS (0 )
FILE LIST
Filename
Size
Teutsch M. Computer Vision in the Infrared Spectrum 2022.pdf
