Super-resolved 3D reconstruction for parking assistance using projective transformation

Keiko Nakajima, Takenao Ohkawa, Shiho Tanaka, Toshio Ito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently, computer vision technology has been widely adopted for the safety technology of automobiles. In conventional methods, research on the recognition of obstacles of similar height has advanced, such as the recognition of pedestrians or nearby vehicles. However, we must also help drivers recognize the height of obstacles that the vehicles cannot drive over, such as parking lot sprags and curbstones. We propose a 3D reconstruction method of small obstacles in this paper. Due to the cost and the problem of camera calibration, we use an in-vehicle monocular camera. Generally, a camera-view image is used for 3D reconstruction. For the camera-view image, objects far from the camera are reflected as small and their reconstructed 3D information has less accuracy due to the mismatch that occurs in the template matching process. Therefore, we propose a correct matching method using the shape of the tops of the same object because it does not change the sequential top-view images. Using our proposed method, more correct 3D information can be acquired than with camera-view image.

Original languageEnglish
Title of host publicationFCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision
Pages300-304
Number of pages5
DOIs
Publication statusPublished - 2013 Apr 15
Event19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2013 - Incheon, Korea, Republic of
Duration: 2013 Jan 302013 Feb 1

Publication series

NameFCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision

Conference

Conference19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2013
CountryKorea, Republic of
CityIncheon
Period13/1/3013/2/1

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Keywords

  • 3D reconstruction
  • ITS
  • Monocular camera
  • Perspective transformation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Nakajima, K., Ohkawa, T., Tanaka, S., & Ito, T. (2013). Super-resolved 3D reconstruction for parking assistance using projective transformation. In FCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision (pp. 300-304). [6485509] (FCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision). https://doi.org/10.1109/FCV.2013.6485509