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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Balzer, J. Peters, M. Soatto, S. |
| Copyright Year | 2014 |
| Description | Author affiliation: Psychol. Dept., Univ. of California, Los Angeles, Los Angeles, CA, USA (Peters, M.) || Comput. Sci. Dept., Univ. of California, Los Angeles, Los Angeles, CA, USA (Balzer, J.; Soatto, S.) |
| Abstract | We explore the application of volumetric reconstruction from structured-light sensors in cognitive neuroscience, specifically in the quantification of the size-weight illusion, whereby humans tend to systematically perceive smaller objects as heavier. We investigate the performance of two commercial structured-light scanning systems in comparison to one we developed specifically for this application. Our method has two main distinct features: First, it only samples a sparse series of viewpoints, unlike other systems such as the Kinect Fusion. Second, instead of building a distance field for the purpose of points-to-surface conversion directly, we pursue a first-order approach: the distance function is recovered from its gradient by a screened Poisson reconstruction, which is very resilient to noise and yet preserves high-frequency signal components. Our experiments show that the quality of metric reconstruction from structured light sensors is subject to systematic biases, and highlights the factors that influence it. Our main performance index rates estimates of volume (a proxy of size), for which we review a well-known formula applicable to incomplete meshes. Our code and data will be made publicly available upon completion of the anonymous review process. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 45 |
| Ending Page | 52 |
| File Size | 1461351 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479949854 |
| DOI | 10.1109/WACV.2014.6836119 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-03-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Abstracts Software Tires Euclidean distance Equations |
| Content Type | Text |
| Resource Type | Article |
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