Computer Vision Metrics: Survey, Taxonomy, and Analysis

Wow. What a good reference coveringImage Capture and RepresentationImage Pre-ProcessingGlobal and Regional FeaturesLocal Feature Design Concepts, Classification, and LearningTaxonomy of Feature Description AttributesInterest Point Detector and Feature Descriptor SurveyGround Truth Data, Content, Metrics and Analysis (my main interest in this book)Vision Pipelines and OptimizationsLiterally 100s of algorithms are included and the books is well organized and as easy to read as this topic could probably be.Excellent, excellent reference.

From my pretty limited knowledge of image processing, this looks like a useful survey book, running through common techniques and pointing to relevant references. Me, I was interested in segmentation algorithms for non-photorealistic rendering, and it has a reasonable section all about this topic. At a price of "free", this automatically kicks it up +1 star for 5 stars.Note that the (also good) book “Computer Vision: Algorithms and Applications” is also free for download as a PDF.

Very well researched, organized, and cited. In such a fast moving field, this survey/overview captures most of the cutting edge, just what is needed to transition from pure research into development. The detail is also surprising for Survey/Taxonomy. Kudos to the authors.

one of the best books capturing such a vast subject - with depth.

Free book is always good.

Too technical

This is a pretty nice book for people that are not completely new to Computer Vision but want to find research topics that they would be interested in. I was asked to write a short review here on my blog http://computervisionblog.wordpress.com/2014/09/21/book-it-computer-vision-metrics/ just in case you are interested.

I acquired this book recently as a reference for various computer vision techniques or algorithms. As a software architect / image processing professional, I find it extremely useful to have a survey this broad on my shelf. It covers literally hundreds of algorithms in a sensible, organized way.I hope he updates this every few years to keep up with each new generation of CV algorithms.

Buon libro, scritto in forma comprensibile ed efficaceMi sarebbe piaciuto qualche esempio con riferimento alle librerie OpenCVper poter provare le idee esposte

Awesome book