- Mastering OpenCV 4
- Roy Shilkrot David Millán Escrivá
- 317字
- 2021-07-02 14:47:32
About the reviewers
Arun Ponnusamy works as a senior computer vision engineer at a start-up (OIC Apps) in India. He is a lifelong learner, passionate about image processing, computer vision and machine learning. He is an engineering graduate from PSG College of Technology, Coimbatore. He started his career at MulticoreWare Inc., where he spent most of his time on image processing, OpenCV, software optimization, and GPU computing.
Arun loves to understand computer vision concepts clearly and explain them in an intuitive way on his blog. He has created an open source Python library for computer vision named cvlib, which is aimed at simplicity and user-friendliness. He is currently researching object detection, generative networks, and reinforcement learning.
Marc Amberg is an experienced machine learning and computer vision engineer with a proven history of working in the IT and service industries. He is skilled in Python, C/C++, OpenGL, 3D reconstruction, and Java. He is a strong engineering professional with a master's degree in computer science (image, vision, and interactions) from Université des Sciences et Technologies de Lille (Lille I).
Vikas Gupta is a computer vision researcher with a master's degree in this domain from India's premier institute: Indian Institute of Science. His research interests are in the field of machine perception, scene understanding, deep learning and robotics.
He has been working in this field in various roles including lecturer, software engineer and data scientist. He is passionate about teaching and sharing knowledge. He has spent 3 years teaching computer vision, embedded systems, and robotics to undergraduate students, and over 3 years working on various projects involving deep learning and computer vision. He has also co-authored a computer vision course at LearnOpenCV.
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