ABSTRACT In applications of virtual reality, it is often required to establish environment models, which is usually time-consuming. In this study, an offline automatic ap-proach to 3-D indoor virtual environment modeling by the way of autonomous land vehicle (ALV) navigation is proposed. An ALV is first driven manually along a path by a driver to collect environment data using three cam-eras mounted on the ALV. The system then generates the environment model by a data fusion approach using the model learning result from the multiple-view data, per-forms intelligent post-processing works to create a more complete model, and uses the VRML language to con-struct a corresponding 3-D virtual reality (VR) model automatically. Good experimental results prove the fea-sibility of the proposed approach.
3D Indoor Virtual Environment Modeling via Vehicle Navigation and Multi-Camera Image Data Fusion. Available from: http://www.researchgate.net/publication/228539558_3D_Indoor_Virtual_Environment_Modeling_via_Vehicle_Navigation_and_Multi-Camera_Image_Data_Fusion [accessed Jul 28, 2015].
Relation:
Proceedings of 2000 International Computer Symposium – Workshop on Image Processing and Pattern Recognition, Chiayi, Taiwan, Republic of China
