Publications

Detailed Information

Dense Depth and Albedo from a Single-Shot Structured Light

DC Field Value Language
dc.contributor.authorHa, Hyowon-
dc.contributor.authorPark, Jaesik-
dc.contributor.authorKweon, In So-
dc.date.accessioned2024-05-09T04:14:14Z-
dc.date.available2024-05-09T04:14:14Z-
dc.date.created2024-05-09-
dc.date.created2024-05-09-
dc.date.issued2015-
dc.identifier.citationProceedings - 2015 International Conference on 3D Vision, 3DV 2015, pp.127-134-
dc.identifier.urihttps://hdl.handle.net/10371/201325-
dc.description.abstractSingle-shot structured light scanning has been actively investigated as it can recover accurate geometrical shape even on a dynamic scene. Since many single-shot approaches focus on improving depth accuracy, recovering the intrinsic properties of the scene such as albedo and shading are also valuable. In this paper, we propose a novel method that reconstructs not only the metric depth but also the intrinsic properties from a single structured light image. We extend the conventional color structured light model to embrace the Lambertian shading model. By using a color phase-shifting pattern, we parameterize the captured image with only two variables, albedo and depth. For an initial solution, a simple but powerful method to decompose sinusoids from the input image is presented. We formulate a non-linear cost function and jointly optimize albedo and depth efficiently by calculating analytic Jacobian. We demonstrate that our algorithm reasonably works on various real-world objects which exhibit challenging surface reflectance and albedo.-
dc.language영어-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleDense Depth and Albedo from a Single-Shot Structured Light-
dc.typeArticle-
dc.identifier.doi10.1109/3DV.2015.22-
dc.citation.journaltitleProceedings - 2015 International Conference on 3D Vision, 3DV 2015-
dc.identifier.wosid000380389600015-
dc.identifier.scopusid2-s2.0-84961738572-
dc.citation.endpage134-
dc.citation.startpage127-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorPark, Jaesik-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.subject.keywordAuthorCameras-
dc.subject.keywordAuthorColor-
dc.subject.keywordAuthorImage color analysis-
dc.subject.keywordAuthorJacobian matrices-
dc.subject.keywordAuthorOptimization-
dc.subject.keywordAuthorPeriodic structures-
dc.subject.keywordAuthorThree-dimensional displays-
Appears in Collections:
Files in This Item:
There are no files associated with this item.

Related Researcher

  • College of Engineering
  • Dept. of Computer Science and Engineering
Research Area Computer Graphics, Computer Vision, Machine Learning, Robotics

Altmetrics

Item View & Download Count

  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Share