A Study on Scene Registration and Patching Algorithms for Large-Scale Virtual Reality
Date Issued
2011
Date
2011
Author(s)
Hsu, Chia-Hung
Abstract
Virtual reality has been applied in many fields to assist people in dealing with hard problems in the real-world. Virtual environment construction is the most common application in virtual reality fields. However, large-scale environments such as campus environments containing many buildings are usually reconstructed by manual operation or through very expensive instruments. Therefore, we developed a novel system for building large-scale virtual reality models with photorealistic appearance. There are five steps of model reconstruction: data collection, single scene reconstruction, scenes registration, scenes repair, and texture mapping. First of all, a laser range finder and two digital single lens reflex cameras are integrated to get space information and object texture images simultaneously. Besides, the environment model is reconstructed under restricting the data collection procedure to promote the operation efficiency. To solve problems in scenes registration, a novel method for combining scenes in complex environments is proposed. The z-buffer structure from bird’s eye view is applied to estimate the moving path of the space shuttle car in an environment. The probability distribution of the position where we collect information from is consequently obtained. Aerial images are further used as global restriction and the base of modification. The success rate of scenes registration is 85%. A novel method for texture mapping is also established to overcome the problems of time-consuming and laborious while projecting panorama images to a model.
Subjects
Virtual Reality
Registration
Aerial Image
Texture Mapping
Type
thesis
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