Face detection and verification with FlatCam lensless imaging system
| dc.contributor.advisor | Baraniuk, Richard G | en_US |
| dc.creator | Tan, Jasper | en_US |
| dc.date.accessioned | 2019-05-17T15:54:29Z | en_US |
| dc.date.available | 2019-05-17T15:54:29Z | en_US |
| dc.date.created | 2018-08 | en_US |
| dc.date.issued | 2018-08-09 | en_US |
| dc.date.submitted | August 2018 | en_US |
| dc.date.updated | 2019-05-17T15:54:29Z | en_US |
| dc.description.abstract | Progress in any technological area requires distinct breakthrough ideas. In the field of imaging, lensless imaging technology is a disruptive concept that allows cameras to continue getting thinner and cheaper. The FlatCam lensless imaging system demonstrates this by replacing the thick and expensive lens of a conventional camera with a thin and cheap aperture mask and a reconstruction algorithm. Indeed, such a design allows recognizable image capture, albeit with much lower resolution and greater noise than conventional lens-based cameras. The true disruptive ability of FlatCam in society is its potential to fuel a machine's capability of obtaining a wealth of information from the world via images, a common step in the pipeline of machine intelligence. In this work, I rigorously demonstrate and evaluate performing face detection and verification, two such intelligence tasks, with FlatCam images. To perform face detection and verification, I propose and adapt basic deep learning techniques to handle the resolution, noise, and artifacts inherent with the FlatCam. I show with common evaluation protocols that there is only a small decrease in accuracy when using FlatCam images compared to the original lens-based images. Furthermore, I describe the construction of a face dataset captured with a FlatCam prototype containing 23,368 lensless camera images of 92 subjects in a range of different operating conditions. Further evaluating face verification on this dataset verifies the FlatCam's potential for performing inference tasks in real-world deployment. | en_US |
| dc.format.mimetype | application/pdf | en_US |
| dc.identifier.citation | Tan, Jasper. "Face detection and verification with FlatCam lensless imaging system." (2018) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/105816">https://hdl.handle.net/1911/105816</a>. | en_US |
| dc.identifier.uri | https://hdl.handle.net/1911/105816 | en_US |
| dc.language.iso | eng | en_US |
| dc.rights | Copyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder. | en_US |
| dc.subject | lensless imaging | en_US |
| dc.subject | face detection | en_US |
| dc.subject | face verification | en_US |
| dc.subject | computational photography | en_US |
| dc.title | Face detection and verification with FlatCam lensless imaging system | en_US |
| dc.type | Thesis | en_US |
| dc.type.material | Text | en_US |
| thesis.degree.department | Electrical and Computer Engineering | en_US |
| thesis.degree.discipline | Engineering | en_US |
| thesis.degree.grantor | Rice University | en_US |
| thesis.degree.level | Masters | en_US |
| thesis.degree.name | Master of Science | en_US |
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