The effect of patterns on image-based modelling of texture-less objects

• Autorzy: Hafeez J. , Jeon H.-J. , Hamacher A. , Kwon S.-C. , Lee S.-H.

Identyfikatory

DOI

10.24425/mms.2018.124883

• Języki publikacji: EN

Abstrakty

EN

The task of generating fast and accurate three-dimensional (3D) models of objects or scenes through a sequence of non-calibrated images is an active field of research. The recent development in algorithm optimization has resulted in many automatic solutions that can provide an accurate 3D model from texture-full objects. Structure-from-motion (SfM) is an image-based method that uses discriminative point-based feature identifier, such as SIFT, to locate feature points in the images. This method faces difficulties when presented with the objects made of homogenous or texture-less surfaces. To reconstruct such surfaces a well-known technique is to apply an artificial variety by covering the surface with a random texture pattern prior to the image capturing process. In this work, we designed three series of image patterns which are tested based on the contrast and density ratio which increases from the first to the last pattern within the same series. The performance of the patterns is evaluated by reconstructing the surface of a texture-less object and comparing it with the true data. Using the best-found patterns from the experiments, a 3D model of a Moai statue is reconstructed. The experimental results demonstrate that the density and structure of a pattern highly affects the quality of the reconstruction.

Słowa kluczowe

EN

structure-from-motion; feature detection; patterns analysis; 3D reconstruction; surface comparison

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2018
• Tom: Vol. 25, nr 4
• Strony: 755--767
• Opis fizyczny: Bibliogr. 26 poz., rys., tab., wykr.

Twórcy

autor

Hafeez J.

• Kwangwoon University, Department of Plasma-Bio Display, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, South Korea

autor

Jeon H.-J.

• Kwangwoon University, Department of Plasma-Bio Display, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, South Korea

autor

Hamacher A.

• Kwangwoon University, Department of Plasma-Bio Display, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, South Korea
• Gachon University, Department of Computer Science, 1342 Seongnamdaero, Sujeong-gu, Seongnam-si, Gyeonggi-do 13120, South Korea

autor

Kwon S.-C.

• Kwangwoon University, Department of Plasma-Bio Display, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, South Korea

autor

Lee S.-H.

• Kwangwoon University, Department of Plasma-Bio Display, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, South Korea

Bibliografia

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Uwagi

EN

1. This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2016-R0992-16-1008) supervised by the IITP (Institute for Information & communications Technology Promotion) and by IITP grant funded by the Korean government (MSIP) (No.2017-0-00833).

PL

2. Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).