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A GPU hardware-based method for automatic occlusion detection and optimization for objects and subobjects

This thesis looks at how the GPU¡¦s processing of objects can be simplified (from the programmer¡¦s point of view) and improved (from the run-time point of view). We propose both software and hardware modifications for automatic occlusion detection to avoid rendering occluded objects. We also consider subobjects. The method takes advantage of partial occlusion opportunities and also allow for parts of an object to self-occlude other parts of the same object. Their rendering sequence can be dynamically reordered at minimal cost, thereby increasing the self-occlusion opportunities within the object. In addition, this thesis investigates methods of automatic hull creation and subobject creation.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-1228112-025111
Date28 December 2012
CreatorsChang, Sheng-Chang
ContributorsChung-Nan Lee, Jih-Ching Chiu, Steve W Haga, Ing-Jer Huang
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageEnglish
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1228112-025111
Rightsuser_define, Copyright information available at source archive

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