Optimization for Computer Vision
https://doi.org/10.1007/978-1-4471-5283-5
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https://doi.org/10.1007/978-1-4471-5283-5
https://doi.org/10.1109/cvpr.2001.990916
10.1109/ICCVW.2017.13
PMC: PMC7619684
With the continues expansion of the application boundary for wireless communications, the application environment of wireless communications is becoming increasingly complex and diverse, which faces negative impacts such as radio frequency ...
https://doi.org/10.1109/cvpr17489.2012
https://doi.org/10.1016/0031-3203(91)90117-n
https://doi.org/10.1109/cvpr14067.2009
https://doi.org/10.1002/col.5080170616
Probabilistic models have been adopted for many computer vision applications, however inference in high-dimensional spaces remains problematic. As the state-space of a model grows, the dependencies between the dimensions lead to an exponent...
https://doi.org/10.1109/cvpr.2003.1211410
The research of computer vision, imaging processing and pattern recognition has made substantial progress during the past several decades.Also, medical imaging has attracted increasing attention in recent years due to its vital component in...
https://doi.org/10.1155/2018/5157020
PMC: 5857319
https://doi.org/10.1007/978-3-030-03398-9
https://doi.org/10.1142/9789812384737
The dehazing of images shot in fog is a hot spot in the study of computer vision. Unlike dehazing methods, which use an atmospheric scattering model, the method proposed here is based on fusion coding of contours and colors. It simulates th...
10.1109/ACCESS.2019.2945108
https://doi.org/10.1007/978-3-319-58347-1
A class of biometrics based upon ear features is introduced for use in the development of passive identification systems. The viability of the proposed biometric is shown both theoretically in terms of the uniqueness and measurability over ...
https://doi.org/10.1109/icpr.2000.906202
Techniques from sparse signal representation are beginning to see significant impact in computer vision, often on nontraditional applications where the goal is not just to obtain a compact high-fidelity representation of the observed signal...
https://doi.org/10.1109/jproc.2010.2044470
This special issue covers a wide range of topics from the area of Computer Vision, Pattern Recognition, and Machine Learning.This breadth of scope is reflected by the papers included in this special issue, which touch topics including geome...
https://doi.org/10.1007/s11263-021-01522-3
This paper reviews computer vision and image analysis studies aiming at automated diagnosis or screening of malaria infection in microscope images of thin blood film smears. Existing works interpret the diagnosis problem differently or prop...
https://doi.org/10.1186/1475-2875-8-153
PMC: 2719653
Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build...