A Real-Time Visualization Method of Objects Using Grid Coding Based on Surface Orientation and Structure

Abstract

A systematic approach is introduced to infer surface structure of visible object surfaces using grid coding in this paper. The visualized object, which has surface of a terrain-like shape, is assumed to derive from data field of gird points defined by orthogonal division and data acquisition. Parametric surface is used to spatially represent the data for analysis. Central difference technology is presented to tessellate the curved surface and generate view-dependent multi-resolution models, which has excellent performance in real-time applications. Besides, an algorithm for data pre-processing is presented. The approach presented here also adapts to data acquired in realistic scene, which can be a virtual reality application. Comparing to previous methods, the method presented in this paper provides good flexibility in various applications. It works well in real-time graphic application while has good visual quality.