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2012 Summer Symposium Program - Middlebury College

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16<br />

Nera Nesic ‘13<br />

Major: CSCI<br />

NSF Grant IIS-0917109<br />

(Scharstein)<br />

Xi Wang ‘14<br />

Major: CSCI, ECON<br />

NSF Grant IIS-0917109<br />

(Scharstein)<br />

Daniel Scharstein<br />

Professor of Computer Science<br />

<strong>Middlebury</strong> <strong>Summer</strong> Research <strong>Symposium</strong> <strong>2012</strong><br />

3D Capture of Complex Real-World Scenes<br />

Nera Nesic, Xi Wang, and Daniel Scharstein<br />

Department of Computer Science, <strong>Middlebury</strong> <strong>College</strong>, <strong>Middlebury</strong> VT 05753<br />

The goal of this project is to create new datasets and benchmarks for 3D<br />

reconstruction methods. <strong>Middlebury</strong> hosts an internationally-known benchmark<br />

for stereo algorithms, which compute 3D depth maps from multiple input images.<br />

Existing test datasets, however, do not exhibit real-world challenges such as<br />

complex occlusion, large depth ranges, and specular objects. Building on work<br />

done in previous summers, we used a mobile stereo rig with four cameras and<br />

structured lighting from two video projectors to capture images and accurate 3D<br />

scene structure. We acquired 7 new datasets of different scenes, each under multiple<br />

lighting conditions and exposures. Our new datasets include a reconstruction of the<br />

famous Tsukuba “head and lamp” scene as well as a motorcycle scene in which we<br />

applied matte white paint to glossy surfaces in order to enable 3D measurements. We<br />

also improved both hardware and software of our system for increased robustness,<br />

accuracy, and usability. Finally, we created scripts for automatic generation of<br />

extensive webpages organizing and visualizing our results.

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