Dense 3D reconstruction with an uncalibrated active stereo system

Hiroshi Kawasaki, Yutaka Ohsawa, Ryo Furukawa, Yasuaki Nakamura

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

In this paper, we describe a novel uncalibrated active stereo system using coded structured light. Structured-light-based active stereo systems generally consist of a camera and projector that require precise precalibration. Therefore, if we can eliminate the precalibration process from the system, the user can merely place the equipment arbitrarily and directly begin scanning the objects. This will greatly improve both the convenience and practicality of the system. In order to achieve this, we propose an original self-calibration method that can be considered as a camera-to-camera self-calibration method in which one of the cameras is replaced with a projector. We also propose a simultaneous 3D reconstruction method that utilizes multiple captured stereo pairs to increase the accuracy of the 3D estimation. Further, we suggest a simple solution to eliminate the ambiguity of scaling by attaching a laser pointer to the projector, which is important for the practical use of the 3D reconstruction.

Original languageEnglish
Pages (from-to)882-891
Number of pages10
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3852 LNCS
DOIs
Publication statusPublished - Jun 14 2006
Event7th Asian Conference on Computer Vision, ACCV 2006 - Hyderabad, India
Duration: Jan 13 2006Jan 16 2006

Fingerprint

3D Reconstruction
Projector
Camera
Cameras
Self-calibration
Structured Light
Eliminate
Calibration
Scanning
Scaling
Laser
Lasers

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Dense 3D reconstruction with an uncalibrated active stereo system. / Kawasaki, Hiroshi; Ohsawa, Yutaka; Furukawa, Ryo; Nakamura, Yasuaki.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3852 LNCS, 14.06.2006, p. 882-891.

Research output: Contribution to journalConference article

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