ARTSccelerated ray-tracing system
IEEE Computer Graphics and Applications
Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Computational strategies for object recognition
ACM Computing Surveys (CSUR)
Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Computer Vision
SIGGRAPH '78 Proceedings of the 5th annual conference on Computer graphics and interactive techniques
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In general, modeling techniques are classified into the creative app. roach and the reproductive app. roach. We discuss the latter approach to reconstruct existing objects. Lately, computers and networks are significantly improved, so that app. lication algorithms are also expected to be improved as well. For instance, capturing and modeling existing objects without special equipment is really desirable. We propose a method to reconstruct whole app. earances of existing objects with voxel space from 2D images that are captured using ordinary video cameras. Our app. roach does not involve extracting and tracking feature points of target objects unlike some conventional methods. Our method identifies the voxel properties so as to keep the app. earance from frame to frame consistent. We call the way of expression screened voxel expressions. The voxel properties are represented by state variables that represent shape and color, and they are calculated by backward and forward ray shooting. During the calculation each voxel has several candidate colors and the correct one is only determined at the end. In this paper, we will discuss the feature value assessment using some experiments. We will also explain the basic methodology of our app. roach.