Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp01dn39x4152
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Funkhouser, Thomas A. | - |
dc.contributor.author | Chen, Peter | - |
dc.date.accessioned | 2017-07-20T13:47:56Z | - |
dc.date.available | 2017-07-20T13:47:56Z | - |
dc.date.created | 2017-05-05 | - |
dc.date.issued | 2017-5-5 | - |
dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp01dn39x4152 | - |
dc.description.abstract | Pose estimation of RBG-D images is useful in studying the behavior of laboratory mice. We generate synthetic datasets of mice using an anatomical 3D mesh model; we manipulate it and output depth images as heatmaps with ground truth labels of 48 joints corresponding to body parts. Using these datasets, we trained a convolutional neural network to estimate the position of joints given a depth image of a mouse. Using these methods, we achieved 95% accuracy for the head joint and 92% accuracy for other joints. | en_US |
dc.language.iso | en_US | en_US |
dc.title | Synthetic Dataset and Pose Estimation for Mice | en_US |
dc.type | Princeton University Senior Theses | - |
pu.date.classyear | 2017 | en_US |
pu.department | Computer Science | en_US |
pu.pdf.coverpage | SeniorThesisCoverPage | - |
pu.contributor.authorid | 960864804 | - |
pu.contributor.advisorid | 910083875 | - |
Appears in Collections: | Computer Science, 1987-2024 |
Files in This Item:
File | Size | Format | |
---|---|---|---|
pcchen_thesis.pdf | 532.31 kB | Adobe PDF | Request a copy |
Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.