Here are 69 books that Multiple View Geometry in Computer Vision fans have personally recommended if you like
Multiple View Geometry in Computer Vision.
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It’s been fantastic to work in computer vision, especially when it is used to build biometric systems. I and my 80 odd PhD students have pioneered systems that recognise people by the way they walk, by their ears, and many other new things too. To build the systems, we needed computer vision techniques and architectures, both of which work with complex real-world imagery. That’s what computer vision gives you: a capability to ‘see’ using a computer. I think we can still go a lot further: to give blind people sight, to enable better invasive surgery, to autonomise more of our industrial society, and to give us capabilities we never knew we’d have.
David Marr shaped the field of computer vision in its early days. His seminal book laid the structure for interpreting images and one which is still largely followed. He popularised notions of the primal sketch and his work on edge detection led to one of the most sophisticated approaches. His work and influence continue to endure despite his early death: we missed and miss him a lot.
Available again, an influential book that offers a framework for understanding visual perception and considers fundamental questions about the brain and its functions.
David Marr's posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field. In Vision, Marr describes a general framework for understanding visual perception and touches on broader questions about how the brain and its functions can be studied and understood. Researchers from a range of brain and cognitive sciences have long valued Marr's creativity, intellectual power, and ability to integrate insights and data from neuroscience, psychology, and computation. This…
A moving story of love, betrayal, and the enduring power of hope in the face of darkness.
German pianist Hedda Schlagel's world collapsed when her fiancé, Fritz, vanished after being sent to an enemy alien camp in the United States during the Great War. Fifteen years later, in 1932, Hedda…
It’s been fantastic to work in computer vision, especially when it is used to build biometric systems. I and my 80 odd PhD students have pioneered systems that recognise people by the way they walk, by their ears, and many other new things too. To build the systems, we needed computer vision techniques and architectures, both of which work with complex real-world imagery. That’s what computer vision gives you: a capability to ‘see’ using a computer. I think we can still go a lot further: to give blind people sight, to enable better invasive surgery, to autonomise more of our industrial society, and to give us capabilities we never knew we’d have.
This fine book is about learning the relationships between what is seen in an image, and what is known about the world. It’s a counterpart to our book on feature extraction and it shows you what can be achieved with the features. It’s not for those who shy from maths, as is the case for all of the books here. So that you can build the techniques, Simon’s book also includes a wide variety of algorithms to help you on your way.
This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data. With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build…
It’s been fantastic to work in computer vision, especially when it is used to build biometric systems. I and my 80 odd PhD students have pioneered systems that recognise people by the way they walk, by their ears, and many other new things too. To build the systems, we needed computer vision techniques and architectures, both of which work with complex real-world imagery. That’s what computer vision gives you: a capability to ‘see’ using a computer. I think we can still go a lot further: to give blind people sight, to enable better invasive surgery, to autonomise more of our industrial society, and to give us capabilities we never knew we’d have.
Richard’s authoritative leading textbook excellently describes the whole field of computer vision. It starts with the sensor, moves to image formation followed by feature extraction and grouping, and then by vision analysis. It’s pragmatic too, with excellent descriptions of applications. And there is a ton of support material. This is a mega textbook describing the whole field of 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 personal photos and videos.
More than just a source of "recipes," this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are…
Sine, a professor of creative writing, accompanies Sam, a neuroscientist, on a conference trip to a Hotel Castle. Sam wants to present a new device, the "monitor." Sine hopes to recover from tending to her mother who just passed away.
When they arrive, Sine is in a dream-like state. Real…
It’s been fantastic to work in computer vision, especially when it is used to build biometric systems. I and my 80 odd PhD students have pioneered systems that recognise people by the way they walk, by their ears, and many other new things too. To build the systems, we needed computer vision techniques and architectures, both of which work with complex real-world imagery. That’s what computer vision gives you: a capability to ‘see’ using a computer. I think we can still go a lot further: to give blind people sight, to enable better invasive surgery, to autonomise more of our industrial society, and to give us capabilities we never knew we’d have.
The advances of deep learning have been awesome, and fast. It’s been hard for the textbooks to keep up, so it’s good to include one that describes the advances and state of art very well. It seems appropriate that it’s edited by two leading researchers who are Roy – who described computer vision systems implementations in a long series of excellent books – and Matt, whose work on face recognition revolutionised and transformed the progress of face recognition in the 1990s. This book gives you an image of where we are now in computer vision, and where we are going.
Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5-10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection.
This book provides easy learning for researchers and practitioners of advanced computer vision methods, but it is also suitable as…
My passion for generative AI first ignited in 2016 when I spoke about it at a conference, and ever since then, I can’t stop! I've created an online course, a newsletter and even wrote a book to spread knowledge on this groundbreaking technology. As an instructor, I empower others to explore the boundless potential of generative AI applications. Day in day out, I assist clients in crafting their own generative AI solutions, tailoring them to their unique needs.
Bishop’s book laid the mathematical groundwork for me, making it a solid foundation for anyone venturing into Generative AI.
I love how it covers Bayesian inference, graphical models, and machine learning fundamentals in a clear, approachable way. I also think, in my personal opinion, that reading my book after this one would be a natural progression to understand where AI is heading, building on the core concepts that Bishop established.
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models…
I’m a historian of Southern Africa who is fascinated by questions of visibility and invisibility. I love probing beneath the surface of the past. For example, why is thisperson famous and renowned, butthatperson isn’t? To me, recognition and reputation are interesting to scrutinize as social categories in their own right, rather than as factual statements. I’ve written two books focusing on the history of religious expression in Southern Africa, and my most recent book is a biography of the forgotten South African writer and politician Regina Gelana Twala.
This anthology of African women writers has been my personal lodestar in writing about Regina Twala, a forgotten African writer.
Busby (a pioneering editor and publisher of Ghanaian heritage) was one of the first to recognize that the canon of African writers was much bigger than famous men like Chinua Achebe and Wole Soyinka.
Her work taught me about a longstanding rich female literary tradition on the African continent – some of her earliest examples of women writers date to Ancient Egypt!
Busby recognizes that we can’t always look to the written page for evidence of this, given that many women writers were denied opportunities to publish their work.
So she broadens the focus of her anthology by paying attention to both “wordsandwriting,” thinking about female writers of novels, poetry, plays, non-fiction, and journalism.
Three decades after her pioneering anthology, Daughters of Africa, Margaret Busby curates an extraordinary collection of contemporary writing by 200 women writers of African descent, including Zadie Smith, Bernardine Evaristo and Chimamanda Ngozi Adichie.
A glorious portrayal of the richness and range of African women's voices, this major international book brings together their achievements across a wealth of genres. From Antigua to Zimbabwe and Angola to the USA, overlooked artists of the past join key figures, popular contemporaries and emerging writers in paying tribute to the heritage that unites them, the strong links that endure from generation to generation, and…
In an age of splendor, a heretic king strips Egypt bare—forcing his queen to quell rebellion and plunging his children into a conspiracy against the crown.
Salvation in the Sun follows Nefertiti as she ascends the throne beside Pharaoh Amenhotep—soon to become Akhenaten—just as he declares war on Egypt’s ancient…
I’m the Head of Trend and Innovation Scouting for Nokia, and I’ve been with the company since the glory days of Nokia mobile phone world dominance. I know first-hand what happens when a company focuses exclusively on the technology, not the humans that use it, and how quickly that can lead to disaster. One of the lessons that I see repeated continuously in the field of innovation is that a huge amount of attention gets paid to the new technology, and not nearly enough on how the technology will interact with our existing systems, beliefs, attitudes, and culture. Learning from the mistakes is the best way to make sure that the future doesn’t repeat them!
While the term the “Metaverse” usually makes people think of a fully digital, immersive world, my own feeling is that technologies that bring digital information and entertainment into our physical world is a much more powerful and important arena. This leads us to the transformative and still-developing world of Augmented Reality.
David Rose of the MIT Media Lab has been working with Augmented Reality for more than a decade, and Supersight is an overview of what he's seen and what he’s learned in this time.
What I love about Supersight is that while David is clearly as excited about this topic as I am, he’s also a realist, and openly discusses issues and challenges with Augmented Reality. Perhaps most valuable are the 14 Augmented Reality Design Principles that he outlines – super realistic, super useful.
After reading this, you’ll have a very grounded idea of the capabilities and potential of…
For thousands of years, human vision has been largely unchanged by evolution.
We’re about to get a software update.
Today, Apple, Google, Microsoft, Facebook, Snap, Samsung, and a host of startups are racing to radically change the way we see. The building blocks are already falling into place: cloud computing and 5G networks, AI computer vision algorithms, smart glasses and VR headsets, and mixed reality games like Pokémon GO. But what’s coming next is a fundamental shift in how we experience the world and interact…
I have been working with computers for decades now – having started with programmable handheld calculators and working my way up and down through mainframes, mini- and micro-computers. I always thought there is an art to writing software, and that good software can be read and admired. Maintainability, readability, and testability are some core needs for software, and after going through many programming paradigms, I feel that functional programming (FP) is the way to go – and several modern web frameworks agree. JavaScript (and now, TypeScript) are essential to web development, and I wanted to show how FP could be successfully used with those languages, and thus my book.
This thin but quite fulfilling book is a compact yet profound exploration of proven program correctness, probably one of the first texts to focus on that topic.
Dijkstra's emphasis on mathematical rigor and disciplined thinking reshapes how programmers approach problem-solving. The author imparts essential principles of program construction, advocating for clarity and precision in code, and leading to cultivating a disciplined mindset, and fostering a deep appreciation for the art and science of programming.
Despite its age, all its knowledge is fully valid, and I’d give the book to every programmer so they can reach a higher level of quality.
Clean wraps, corners square, lay flat. No creases to the spine, or hinge. Small frayed spot at the top of the spine. No previous owner's name, no other marks in text. Well kept copy.
I have always been fascinated by science and everything mysterious. I love to read science fiction and mystery stories. I use art and literature to explore reality. Writing or painting allows me to link seemingly unrelated topics together to create my own explanations for why things are the way they appear to be. The biggest things in the universe are replicated on Earth right down to sub-atomic size. I call that life imitating stars. Life is an endless resource found everywhere in the universe, and it's not restricted to just light or heat to grow; it only needs energy.
This book was written in the late 60s, when everything was breaking loose from traditional values, including writing styles. Brunner did a very good job of anticipating how technology and changing social norms would change the world in the not-so-distant future.
It's all there: sexual freedom, legal drugs, religion, computers, crazy mass killers called muckers, corporate empires, a 7 billion population, global events, and the personalized internet.
I like the way the story was written, a new wave pop art style intermixed with traditional passages blaring out a series of seemingly unrelated events that are strung together by a group of unrelated characters who carry the complex story through to a surprising ending.
Now in a Tor Essentials edition, the Hugo Award-winning, uncannily prophetic Stand on Zanizbar is a science fiction novel unlike any before in that remains an insightful look at America’s downfall that allows us to see what has been, what is, and what is to come.
“There are certain things John Brunner achieved, which no one has done before or since.” ― Bruce Sterling
Genetic engineering is routine, corporations have usurped democracy, technology governs human relationship, and mass-marketed psychosomatic drugs keep billions docile. The systems of the United States are universal in reach and out of control. Every citizen is…
Born the heir of a master woodcutter in a queendom defined by guilds and matrilineal inheritance, nonbinary Sorin can’t quite seem to find their place. At seventeen, an opportunity to attend an alchemical guild fair and secure an apprenticeship with the…
I love computers, and especially computer systems. I’m interested in how different pieces of hardware and software, like processors, operating systems, compilers, and linkers, work together to get things done. Early in my career, as a software security tester, I studied how different components interacted to find vulnerabilities. Now that I work on compilers, I focus on the systems that transform source code into a running program. I’m also interested in how computer systems are shaped by the people who build and use them—I believe that creating safer, more reliable software is a social problem as much as a technical one.
Before I read this book, I knew a bunch of facts about the different pieces of computer systems. After I read it, I understood how those pieces fit together. Building all those pieces myself, starting from the simplest logic gates and working my way up, made some fundamental concepts finally click—like how a processor decodes an instruction.
I especially loved the book’s hands-on structure: each chapter is a project where you get a specification and test suite for the component you need to build, but you have to figure out exactly how to build it for yourself. Completing the projects often felt like solving a fun puzzle, and it made the concepts stick in a way that just reading about them wouldn’t have.
A textbook with a hands-on approach that leads students through the gradual construction of a complete and working computer system including the hardware platform and the software hierarchy.
In the early days of computer science, the interactions of hardware, software, compilers, and operating system were simple enough to allow students to see an overall picture of how computers worked. With the increasing complexity of computer technology and the resulting specialization of knowledge, such clarity is often lost. Unlike other texts that cover only one aspect of the field, The Elements of Computing Systems gives students an integrated and rigorous picture…
