A Volumetric Method for Building Complex Models from Range Images-英文文献.pdf

A Volumetric Method for Building Complex Models from Range Images Brian Curless and Marc Levoy Stanford University Abstract gle description of the surface. A set of desirable propertie s for such a A number of techniques have been developed for reconstructing sur- surface reconstruction algorithm includes: faces by integrating groups of aligned range images. A desirable set  Representation of range uncertainty . The data in range images of properties for such algorithms includes: incremental updating, rep- typically have asymmetric error distributions with primary di- resentation of directional uncertainty, the ability to fill gaps in the re- rections along sensor lines of sight, as illustrated for optical tri- construction, and robustness in the presence of outliers. Prior algo- angulation in Figure 1a. The method of range integration should rithms possess subsets of these properties. In this paper, we present a reflect this fact. volumetric method for integrating range images that posses ses all of these properties.  Utilization of all range data, including redundant observations Our volumetric representation consists of a cumulative weighted of each object surface. If properly used, this redundancy can re- signed distance function. Working with one range image at a time, duce sensor noise. we first scan-convert it to a distanc