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I want to develop a system that can track and follow a road. Initially, I'd like to handle well-defined roads only and maybe later incorporate tracking for roads that aren't so well defined.
The problem I'm facing is that I don't know where to get started. I am new to image processing and I was hoping I could get some pointers on where to start off and what books to read on the subject. I am an 'experienced' programmer (I can program in C and Python fairly well, and can handle C++ and Objective-C), so the code itself isn't that big of an issue - its just "where do I start? what do I read?" thats confusing me. I am also open on learning another language if it helps me in anyway.
I'll appreciate any pointers/suggestions regarding this.
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Machine Learning Basics: Knowledge of Convoluted Neural Networks, fully connected neural networks, support vector machines, recurrent neural networks, generative adversarial network, and autoencoders are necessary to get started with computer vision.
In recent times, computer vision has been considered cutting-edge technology in India. Computer vision is becoming increasingly important in various industries, including safety, productivity, and accuracy. Consequently, the field of computer vision has more opportunities than ever before.
You might want to at least start with OpenCV.
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I do not know your level in mathematics at all. The "Handbook of Mathematical Models in Computer Vision" is a very good reference on my mind. You should take a look at the "google books" version.
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