Understanding Vision: theory, models, and data --- a book (by Oxford University Press) published May 2014,

See its amazon.com page

or its amazon.co.uk page

click here for the publisher's UK webpage (and here for its US webpage) for this book, and also available from various online sites and shops worldwide. It is also available at oxfordscholarshiponline at http://dx.doi.org/10.1093/acprof:oso/9780199564668.001.0001

Table of contents of the book

A sample chapter of the book

Video lectures for the book

Teaching and learning support --- materials are being added to this page as they become available.

Chapter 1: Approach and Scope

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Get a quick glimpse from this 3.5 minute video

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Chapter 2: A Very Brief Introduction of What is Known about Vision Experimentally

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A quick introduction to what is known experimentally about biological vision in this playlist of 15 shorter video clips (average 9:52 minutes each) .

Chapter 3: The Efficient Coding Principle

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Introductory/summary lectures and a playlist shorter video details (about 10 minutes each)

Slides from a lecture on this topic in ACCN 2014 summer school

Chapter 4: V1 and Information Coding

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Problems with understanding V1 by efficient coding principles (15:20 minutes) ,

Chapter 5: The V1 Hypothesis - Creating a Bottom up Saliency map for Preattentive Selection and Segmentation.

You can read it in the sample chapters of the book

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Introductory/summary lectures and a playlist of details

This is the video of a presentation (its slides) at the plenary symposium "Visual perception meets computational neuroscience" at ECVP 2013 could be used as a short introduction to this chapter

Chapter 6: Visual Recognition as Decoding.

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Two video lectures of introductory tutorial

a tutoral lecture at CVPR 2022

Slides from a lecture on color discrimination (cf. section 6.3.4 of the book) in Kongsberg Vision Meeting Oct. 2014

Chapter 7: Epilogue .

A blog article Are we too "smart" to understand how we see?

This review paper below may be seen as a very abbreviated version of some selected sections in chapters 3-5 of the book :.

L. Zhaoping (2006) Theoretical Understanding of early visual processes by data compression and data selection in Network: Computation in neural systems 17(4):301-334 (2006).