Sign-In
Cart
Computer Vision
Paperback
Series: AI and ML Reference Handbooks
Publisher: Independently Published
Published: Jul 30 2026
Pages: 160
Weight: 0.49
Height: 0.34 Width: 6.00 Depth: 9.00
Language: English
Master Computer Vision from First Principles to Production Systems
Whether you're a student, AI engineer, software developer, researcher, or interview candidate, this comprehensive guide takes you from the fundamentals of computer vision to building production-ready AI applications. The book is designed as both a practical reference and a graduate-level learning resource, covering the mathematics, algorithms, deep learning architectures, deployment strategies, and real-world implementation of modern computer vision systems.
Inside this book, you'll learn:
- Image fundamentals, pixels, color spaces, and digital image representation
- Classical computer vision techniques including filtering, edge detection, feature extraction, and segmentation
- Convolutional Neural Networks (CNNs) from fundamentals to implementation
- Modern object detection algorithms including YOLO
- Semantic and instance segmentation using U-Net and Mask R-CNN
- Transfer Learning and pretrained vision models
- Vision Transformers (ViTs)
- GANs, Diffusion Models, and Generative Computer Vision
- 3D Computer Vision, Camera Geometry, and Depth Estimation
- Video Analytics, Object Tracking, and Action Recognition
- Foundation Vision Models including CLIP, SAM, Grounding DINO, Florence-2, and DINOv2
- Vision-Language Models and multimodal AI
- Production deployment, optimization, monitoring, and MLOps for Computer Vision
- Three complete end-to-end capstone projects with production workflows
- Interview questions and answers in every chapter
- Practical Python implementations using OpenCV, PyTorch, Ultralytics YOLO, and Hugging Face libraries
Unlike books that focus only on theory or only on code, this guide combines intuitive explanations, mathematical foundations, architecture diagrams, production engineering practices, and hands-on implementations into one complete reference.
Whether you're preparing for technical interviews, building production AI systems, pursuing graduate studies, or expanding your professional skills, this book provides a practical roadmap from pixels to intelligent vision systems.
Perfect for:
- AI & Machine Learning Engineers
- Computer Vision Engineers
- Data Scientists
- Software Developers
- Graduate & Undergraduate Students
- Researchers
- Technical Interview Preparation
- Professionals building production AI applications
Also from
Patel, Rashmi
Also in
General Computers
All Data Are Local: Thinking Critically in a Data-Driven Society
Loukissas, Yanni Alexander
Paperback
Comptia Network+ Certmike: Prepare. Practice. Pass the Test! Get Certified!: Exam N10-008
Chapple, Mike
Zacker, Craig
Paperback
Interactive Theorem Proving and Program Development: Coq'art: The Calculus of Inductive Constructions
Castéran, Pierre
Bertot, Yves
Hardcover
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Wickham, Hadley
Grolemund, Garrett
Paperback
The Reverse Centaur's Guide to Life After AI: How to Think about Artificial Intelligence--Before It's Too Late
Doctorow, Cory
Paperback
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Kleppmann, Martin
Riccomini, Chris
Paperback
The Agi Chronicles: The Inside Story of the Race to Create an Artificial Superintelligence
Roose, Kevin
Hardcover
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Yudkowsky, Eliezer
Soares, Nate
Hardcover
AI for Good: How Real People Are Using Artificial Intelligence to Fix Things That Matter
Tyrangiel, Josh
Hardcover
Human Raised: Nurturing Connection, Curiosity & Lifelong Learning in the Age of AI
Suskind, Dana, MD
Hardcover
The Year in Tech, 2026: The Insights You Need from Harvard Business Review
Review, Harvard Business
Anthony, Scott D.
Webb, Amy
Paperback
The Eureka Machine: Why AI Is the Key to Unlocking a New Era of Scientific Discoveries
Socher, Richard
Hardcover
Hbr's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning by Ajay Agrawal, Joshua Gans, and AVI Goldfarb)
Davenport, Thomas H.
Iansiti, Marco
Review, Harvard Business
Paperback
The AI Con: How to Fight Big Tech's Hype and Create the Future We Want
Bender, Emily M.
Hanna, Alex
Hardcover
Fans First: Change The Game, Break the Rules & Create an Unforgettable Experience
Cole, Jesse
Paperback
CompTIA Network+ Certification All-in-One Exam Guide, Ninth Edition (Exam N10-009)
Weissman, Jonathan S.
Paperback
A Giant Leap: How AI Is Transforming Healthcare and What That Means for Our Future
Wachter, Robert
Hardcover
Generative Ai: The Insights You Need from Harvard Business Review
Cremer, David De
Review, Harvard Business
Mollick, Ethan
Paperback
AI Literacy in Any Class: Preparing Students to Thrive in an AI Future in Any Grade Level or Content Area
Miller, Matt
Paperback
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Reis, Joe
Housley, Matt
Paperback
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence
Crawford, Kate
Paperback
Obsolete: The AI Industry's Trillion Dollar Race to Replace Us--And How to Stop It
Lovely, Garrison
Paperback
Minecraft: Guide Collection 4-Book Boxed Set (Updated): Survival (Updated), Creative (Updated), Redstone (Updated), Combat
The Official Minecraft Team
Mojang Ab
Hardcover
AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
Kapoor, Sayash
Narayanan, Arvind
Paperback
Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming
Matthes, Eric
Paperback
Love Machines: How Artificial Intelligence Is Transforming Our Relationships
Muldoon, James
Hardcover
The Black Swan: Second Edition: The Impact of the Highly Improbable: With a New Section: On Robustness and Fragility
Taleb, Nassim Nicholas
Paperback
The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip
Witt, Stephen
Hardcover
We Are as Gods: A Survival Guide for the Age of Abundance
Kotler, Steven
Diamandis, Peter H.
Hardcover
Hands-On Machine Learning with Scikit-Learn and Pytorch: Concepts, Tools, and Techniques to Build Intelligent Systems
Géron, Aurélien
Paperback
AI with Intention: Principles and Action Steps for Teachers and School Leaders
Frontier, Tony
Paperback
Embedded Systems with ARM Cortex-M Microcontrollers in Assembly Language and C: Fourth Edition
Zhu, Yifeng
Paperback
Human + Machine, Updated and Expanded: Reimagining Work in the Age of AI
Daugherty, Paul R.
Wilson, H. James
Hardcover
Artificial Intelligence: A Guide for Thinking Humans (with a New Preface)
Mitchell, Melanie
Paperback
Hands-On Large Language Models: Language Understanding and Generation
Grootendorst, Maarten
Alammar, Jay
Paperback
AP Computer Science Principles Premium, 2027: 6 Practice Tests + Comprehensive Review + Online Practice
Reichelson, Seth
Paperback
CompTIA Tech+ Certification All-in-One Exam Guide, Third Edition (Exam FC0-U71)
Wempen, Faithe
Paperback
AP Computer Science a Premium, 13th Edition: Prep Book with 6 Practice Tests + Comprehensive Review + Online Practice (2026)
Teukolsky, Roselyn, M. S.
Carman, Chris
Paperback
The Empty Center: Permission, Connection, and What We Build When the Future is Uncertain
Drumwright, Hayes
Hardcover
Power and Prediction: The Disruptive Economics of Artificial Intelligence
Gans, Joshua
Goldfarb, Avi
Agrawal, Ajay
Hardcover
Fundamentals of Software Architecture: A Modern Engineering Approach
Richards, Mark
Ford, Neal
Paperback
An Illustrated Guide to AI Agents: Concepts and Code for Building Agents with Llms, Tools, and Memory
Alammar, Jay
Grootendorst, Maarten
Paperback
Tubes: A Journey to the Center of the Internet with a New Introduction by the Author
Blum, Andrew
Paperback
AI Projects with Raspberry Pi: High-Performance Artificial Intelligence for Robotics, Security, Home Automation, and Vision
Hattersley, Lucy
Jepson, Brian
Paperback
Minecraft: Exploded Builds: Medieval Fortress: An Official Mojang Book
The Official Minecraft Team
Mojang Ab
Paperback
The Empty Center: Permission, Connection, and What We Build When the Future is Uncertain
Drumwright, Hayes
Paperback
You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place
Shane, Janelle
Paperback
The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma
Suleyman, Mustafa
Hardcover
The Problem with Personalization: How Advertisers Learned to Make and Break Us from Ancient Times to the AI Age
Turow, Joseph
Hardcover
RHCSA Red Hat Enterprise Linux 10: Training and Exam Preparation Guide (EX200), Fourth Edition
Ghori, Asghar
Paperback
AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
Narayanan, Arvind
Kapoor, Sayash
Hardcover
Minecraft: Roll for Adventure: The Temple of the Charged Creeper
Forbeck, Matt
Forbeck, Marty
Hardcover
The Devops Handbook, 2nd Edition: How to Create World-Class Agility, Reliability, & Security in Technology Organizations
Debois, Patrick
Kim, Gene
Humble, Jez
Paperback
The Return on AI: From Promise to Profit in the Age of Intelligent Business
Sawhney, Mohanbir
Mittal, Ashwin
Paperback
Graphic Artists Guild Handbook, 17th Edition: Pricing & Ethical Guidelines
The Graphic Artists Guild
Paperback
The Death of Expertise: The Campaign Against Established Knowledge and Why It Matters
Nichols, Tom
Paperback
Artificial Intelligence All-In-One for Dummies
Massaron, Luca
Minnick, Chris
Mueller, John Paul
Paperback
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Huyen, Chip
Paperback
You to the Power of Two: Redefining Human Potential in the Age of Identic AI
Bradley, Joseph
Tapscott, Don
Hardcover
AI for Educators: Learning Strategies, Teacher Efficiencies, and a Vision for an Artificial Intelligence Future
Miller, Matt
Paperback
The Experimentation Machine: Finding Product-Market Fit in the Age of AI
Bussgang, Jeffrey J.
Hardcover
More Human: How the Power of AI Can Transform the Way You Lead
Hougaard, Rasmus
Carter, Jacqueline
Hardcover
Hbr's 10 Must Reads on Artificial Intelligence, Updated and Expanded (Featuring How AI Can Help Managers Think Through Problems by Elisa Farri and Gab
Agrawal, Ajay
Review, Harvard Business
Davenport, Thomas H.
Paperback
Guilty Pleasure: The Pornification of the Internet, the Economy, and Everything Else
Nilsson, Patricia
Hardcover
Building Applications with AI Agents: Designing and Implementing Multiagent Systems
Albada, Michael
Paperback
Navigeren door het labyrint: Een handleiding voor het beheer van data
Sebastian-Coleman, Laura
Paperback
The AI Ultimatum: Preparing for a World of Intelligent Machines and Radical Transformation
Hill, Paul
Brown, Steve
Paperback
The Fourth Intelligence Revolution: The Future of Espionage and the Battle to Save America
Vinci, Anthony
Hardcover
Microsoft 365 Excel All-In-One for Dummies
Kusleika, Dick
Ringstrom, David H.
Alexander, Michael
Paperback
What Is Intelligence?: Lessons from AI about Evolution, Computing, and Minds
Aguera Y. Arcas, Blaise
Paperback
The Technological Republic: Hard Power, Soft Belief, and the Future of the West
Zamiska, Nicholas W.
Karp, Alexander C.
Hardcover
Comptia A+ Complete Study Guide, 2-Volume Set: Volume 1 Core 1 Exam 220-1201 and Volume 2 Core 2 Exam 220-1202
Buhagiar, Jon
Docter, Quentin
Paperback
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Grolemund, Garrett
Cetinkaya-Rundel, Mine
Wickham, Hadley
Paperback