Top Vision books recommended by experts

At MentorCruise, we are all about making the most out of the experience of others. As part of that, we've connected and asked dozens of experts and professionals about their favourite Vision books – and here are the answers.

Table of Contents

Fundamentals of Vision

Understanding the concepts of Vision starts with understanding the fundamentals. On your way to mastery, it's crucial for you to understand how certain concepts were derived, and why things work like they do. Starting with these resources is the best way to do so.

Learning OpenCV 4 Computer Vision with Python 3: Get to Grips with Tools, Techniques, and Algorithms for Computer Vision and Machine Learning

Computer vision is a rapidly evolving science, encompassing diverse applications and techniques. This book will not only help those who are getting started with computer vision but also experts in the domain. You'll be able to put theory into practice by building apps with OpenCV 4 and Python 3. ...

Recommended by the experts and mentors at MentorCruise

Learning TensorFlow

TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. It was developed by the Google Brain team for Google's internal use in research and production.

Recommended by the experts and mentors at MentorCruise

Machine Learning Design Patterns

The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. ...

Recommended by the experts and mentors at MentorCruise

Learning OpenCV: Computer Vision with the OpenCV

"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised." -William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators …

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Computer Vision Metrics: Survey, Taxonomy, and Analysis

Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. ...

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Multiple view geometry in computer vision

A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. ...

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Additional Vision Reading

These books are not required for you to learn Vision, but they are highly recommended for you to deepen your knowledge.

Computer vision

Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own person…

Recommended by the experts and mentors at MentorCruise

Digital image processing

Digital image processing is the use of a digital computer to process digital images through an algorithm. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing.

Recommended by the experts and mentors at MentorCruise

This list is curated by MentorCruise and can include Amazon affiliate links. Have any other suggestions? Add here.

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Hello! For over 15 years, I've been immersed in the Cyber Security field, honing my skills in Detection Engineering and Incident Response. I'm passionate about helping others crack the code to their dream career. My journey in this ever-evolving field has equipped me with the expertise to guide you through …

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I'm currently the leader of a mid-sized multi-disciplinary engineering team at a B2B software company. We build a platform for collecting spatial analytics from our customers' VR and AR applications and helping them draw insights from their participants' behaviour to improve their products. My career has spanned gaming (web, mobile, …

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Need help with data science and machine learning skills? I can guide you to the next level. Together, we'll create a personalized plan based on your unique goals and needs. Whether you want to build a strong portfolio of projects, improve your programming skills, or advance your career to the …

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Welcome to my mentoring profile! With a strong background in Electrical and Computer Engineering, I bring extensive expertise in the fields of robotics and multimedia processing. I completed my Ph.D. at TU Munich, focusing on advancing the boundaries of these disciplines, and subsequently served as a postdoc and pioneer fellow …

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Hi, I'm Becca. πŸ‘©β€πŸ’» I'm a London-based senior product manager with 6+ years of experience launching products and scaling ecosystems. I've worked in start-ups and scale-ups, B2B and B2C. I've grown teams and products at companies like Spotify and Improbable, and am currently on hiatus working on a personal project! …

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I failed numerous attempts to build a product that either consumers or businesses would be willing to pay for. What I learned throughout the years was built on mistakes, sometimes blunt ones, sometimes due to the absence of luck, etc. The suffering I underwent made me a better version of …

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  • "Naz is an amazing person and a wonderful mentor. She is supportive and knowledgeable with extensive practical experience. Having been a manager at Netflix, she also knows a ton about working with teams at scale. Highly recommended."

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