Our search has the following Google-type functionality:
If you use '+' at the start of a word, that word will be present in the search results.
eg. Harry +Potter
Search results will contain 'Potter'.
If you use '-' at the start of a word, that word will be absent in the search results.
eg. Harry -Potter
Search results will not contain 'Potter'.
If you use 'AND' between 2 words, then both those words will be present in the search results.
eg. Harry AND Potter
Search results will contain both 'Harry' and 'Potter'.
NOTE: AND will only work with single words not phrases.
If you use 'OR' between 2 single words, then either or both of those words will be present in the search results.
eg. 'Harry OR Potter'
Search results will contain just 'Harry', or just 'Potter', or both 'Harry' and 'Potter'.
NOTE: OR will only work with single words not phrases.
If you use 'NOT' before a word, that word will be absent in the search results. (This is the same as using the minus symbol).
eg. 'Harry NOT Potter'
Search results will not contain 'Potter'.
NOTE: NOT will only work with single words not phrases.
If you use double quotation marks around words, those words will be present in that order.
eg. "Harry Potter"
Search results will contain 'Harry Potter', but not 'Potter Harry'.
NOTE: "" cannot be combined with AND, OR & NOT searches.
If you use '*' in a word, it performs a wildcard search, as it signifies any number of characters. (Searches cannot start with a wildcard).
Search results will contain words starting with 'Pot' and ending in 'er', such as 'Potter'.
Low-Rank Models in Visual Analysis: Theories, Algorithms, and Applications presents the state-of-the-art on low-rank models... [more]
Discrete-Time Neural Observers: Analysis and Applications presents recent advances in the theory of neural state estimation... [more]
Computer Vision and Imaging in Intelligent Transportation Systems Robert P. [more]
Computer Vision in Vehicle Technology: Land, Sea & Air Antonio M. Lopez, Universitat Autonoma de Barcelona, Spain... [more]
Example-Based Super Resolution provides a thorough introduction and overview of example-based super resolution, covering the... [more]
As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail... [more]
Despite their exaggerated features, caricatures can remain instantly recognizable. The author assembles clues from a variety... [more]
Learning-Based Local Visual Representation and Indexing, reviews the state-of-the-art in visual content representation and... [more]
With its step-by-step, clear structure, this is an essential reference for both students and engineers in R&D that explains... [more]
This hands-on guide gives an overview of computer vision and enables engineers to understand the implications and challenges... [more]
Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science... [more]
This book will be highly useful to researchers in the area of pattern classification and computer vision as well as for academics... [more]
Computer Vision is a rapidly expanding area and it is becoming easier for developers to make use of this field due to the... [more]
This comprehensive guide to the restoration of images degraded by motion blur brings together a wide range of approaches to... [more]
Making a Machine That Sees Like Us explains why and how our visual perceptions can provide us with an accurate representation... [more]
Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image Processing is a comprehensive... [more]
This book explores the fundamental computer vision principles and state-of-the-art algorithms used to create cutting-edge... [more]
A guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code... [more]
Image Restoration: Fundamentals and Advances responds to the need to update most existing references on the subject, many... [more]
With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples... [more]
Presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing... [more]
Appropriate for upper-division undergraduate and graduate level courses in computer vision found in departments of computer... [more]
Programmers, scientists, and engineers are always in need of newer techniques and algorithms to manipulate and interpret images.... [more]
This 2004 book is an introduction to machine vision. It provides all the necessary theoretical tools and shows how they are... [more]