Pregled bibliografske jedinice broj: 1128794
Can OpenPose Be Used as a 3D Registration Method for 3D Scans of Cultural Heritage Artifacts
Can OpenPose Be Used as a 3D Registration Method for 3D Scans of Cultural Heritage Artifacts // In: Del Bimbo A. et al. (eds) Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science, vol 12667.
Milano, Italija: Springer, 2021. str. 83-96 doi:10.1007/978-3-030-68787-8_6 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1128794 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Can OpenPose Be Used as a 3D Registration Method
for 3D Scans of Cultural Heritage Artifacts
Autori
Pribanić, Tomislav ; Bojanić, David ; Bartol, Kristijan ; Petković, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
In: Del Bimbo A. et al. (eds) Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science, vol 12667.
/ - : Springer, 2021, 83-96
ISBN
978-3-030-68786-1
Skup
25th International Conference on Pattern Recognition: II International Workshop on Pattern Recognition for Cultural Heritage (ICPR 2020)
Mjesto i datum
Milano, Italija, 10.01.2021. - 15.01.2021
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Cultural heritage artifacts ; 3D scanning ; 3D registration ; OpenPose
Sažetak
3D scanning of artifacts is an important tool for studying and preservation of a culture heritage. Systems for 3D reconstruction are constantly developing but due to the shape and size of artifacts it is usually necessary to perform 3D scanning from several different positions in space. This brings up the problem of 3D registration which is a process of aligning different point clouds. Software-based 3D registration methods typically require identifying the sufficient number of point correspondence pairs between different point clouds. These correspondences are frequently found manually and/or by introducing a specially designed objects in the scene. On the other hand, in this work we explore whether OpenPose, a well-known deep learning model, can be used to find corresponded point pairs between different views and eventually assure a successful 3D registration. OpenPose is trained to find patterns and keypoints on images containing people. We acknowledge that many artifacts are indeed human like postures and we test our ideas on finding correspondences using OpenPose. Furthermore, if an artifact is nothing like human like appearance, we demonstrate a method introducing in 3D scene a simple human like image, and in turn allowing OpenPose to facilitate 3D registration between 3D scans from different views. The proposed 3D registration pipeline is easily applicable to many existing 3D scanning solutions of artifacts.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-IP-2018-01-8118 - Izračun antropometrijskih mjera pametnim telefonom i tabletom (STEAM) (Pribanić, Tomislav, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Tomislav Petković (autor)
Kristijan Bartol (autor)
Tomislav Pribanić (autor)
David Bojanić (autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus