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<p>In this thesis work, we propose computer vision techniques for 3D reconstruction and
object height measurement using a single camera and multi-laser emitters, which have an
intersection on the projected image plane. Time-division and color division methods are first
investigated for our structured light system. Although the color division method offers better
accuracy for object height measurement, it requires the laser emitters equipped with different
color lights. Furthermore, the color division method is sensitive to light exposure in the
measurement environment. Next, a new multi-level random sample consensus (MLRANSAC)
algorithm has been developed. The proposed MLRANSAC method not only offers high accuracy
for object height measurement but also eliminates the requirement for the laser emitters with
different colors. Our experiment results have validated the effectiveness of the MLRANSAC
algorithm.
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| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/12231038 |
| Date | 02 May 2020 |
| Creators | Yaan Zhang (8781872) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/Improvement_of_Structured_Light_Systems_Using_Computer_Vision_Techniques/12231038 |
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