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Viac informácií o knihe Object Detection and Analysis

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Anotácia knihy

Designing a general purpose computer vision system withperformance comparable to that of the human vision system is thegoal of many researchers. This book introduces a local appearancemethod, termed coherency filtering, which allows for the robustdetection and analysis of rigid objects contained in heterogeneousscenes by properly exploiting the wealth of information returned bya k-nearest neighbours (k-NN) classifier. A significant advantageof k-NN classifiers is their ability to indicate uncertainty in theclassification of a local window by returning a list of k candidateclassifications. Classification of a local window can be inherentlyuncertain when considered in isolation since local windows fromdifferent objects may be similar in appearance. In order torobustly identify objects in a query image, a process is needed toappropriately resolve this uncertainty. Coherency filteringresolves this uncertainty by imposing constraints across the colourchannels of a query image along with spatial constraints betweenneighbouring local windows in a manner that produces reliableclassification of local windows and ultimately results in therobust identification of objects.

Parametre knihy

Zaradenie knihy Knihy po anglicky Computing & information technology Computer science Artificial intelligence

• Celý názov: Object Detection and Analysis
• Podnázov: A Coherency Filtering Approach
• Autor: Donovan Parks
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 172
• EAN: 9783639013801
• ISBN: 3639013808
• ID: 06811385
• Nakladateľ: VDM Verlag Dr. Mueller E.K.
• Hmotnosť: 236 g
• Rozmery: 229 × 152 × 9 mm
• Dátum vydania: 06. May 2008

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