Object Detection and Analysis: a Coherency Filtering Approach - Donovan Parks - Bøger - VDM Verlag - 9783639013801 - 6. maj 2008
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Object Detection and Analysis: a Coherency Filtering Approach

Donovan Parks

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Object Detection and Analysis: a Coherency Filtering Approach

Designing a general purpose computer vision system with performance comparable to that of the human vision system is the goal of many researchers. This book introduces a local appearance method, termed coherency filtering, which allows for the robust detection and analysis of rigid objects contained in heterogeneous scenes by properly exploiting the wealth of information returned by a k-nearest neighbours (k-NN) classifier. A significant advantage of k-NN classifiers is their ability to indicate uncertainty in the classification of a local window by returning a list of k candidate classifications. Classification of a local window can be inherently uncertain when considered in isolation since local windows from different objects may be similar in appearance. In order to robustly identify objects in a query image, a process is needed to appropriately resolve this uncertainty. Coherency filtering resolves this uncertainty by imposing constraints across the colour channels of a query image along with spatial constraints between neighbouring local windows in a manner that produces reliable classification of local windows and ultimately results in the robust identification of objects.

Medie Bøger     Paperback Bog   (Bog med blødt omslag og limet ryg)
Udgivet 6. maj 2008
ISBN13 9783639013801
Forlag VDM Verlag
Antal sider 172
Mål 235 g
Sprog Engelsk