Abstract

We have built a system for acquiring and displaying high quality graphical models of objects that are impossible to scan with traditional scanners. Our system can acquire highly specular and fuzzy materials, such as fur and feathers. The hardware set-up consists of a turntable, two plasma displays, an array of cameras, and a rotating array of directional lights. We use multi-background matting techniques to acquire alpha mattes of the object from multiple viewpoints. The alpha mattes are used to construct an opacity hull. The opacity hull is a new shape representation, defined as the visual hull of the object with view-dependent opacity. It enables visualization of complex object silhouettes and seamless blending of objects into new environments. Our system also supports relighting of objects with arbitrary appearance using surface reflectance fields, a purely image-based appearance representation. Our system is the first to acquire and render surface reflectance fields under varying illumination from arbitrary viewpoints. We have built three generations of digitizers with increasing sophistication. In this paper, we present our results from digitizing hundreds of models.

Highlights

  • Creating 3D models manually is time consuming and creates a bottleneck for many practical applications

  • In this paper we demonstrate that the combination of opacity hull geometry and the image-based surface reflectance field leads to an effective representation for rendering applications

  • We have already implemented an interactive renderer for surface light fields, and we believe we can substantially accelerate the rendering of surface reflectance fields

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Summary

Introduction

Creating 3D models manually is time consuming and creates a bottleneck for many practical applications It is both difficult to model complex shapes and to recreate complex object appearance using standard parametric reflectance models. An ideal system would acquire an object automatically and construct a detailed shape and appearance model sufficient to place the synthetic object in an arbitrary environment with new illumination. We have developed an image-based 3D photography system that comes substantially closer to the ideal system outlined above It is very robust and capable of fully capturing 3D objects that are difficult if not impossible to scan with existing scanners (see Figure 1).

Previous Work
Modeling Approach
Hardware Set-Up
Data Acquisition Process
Acquiring Alpha Mattes
Opacity Hull Construction
Surface Reflectance Fields
Point-Sampled Data Structure
Rendering
Results
Future Work
10 Conclusions
11 Acknowledgments
Full Text
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