SHREC'18: RgB-D object-to-cad retrieval

Quang Hieu Pham, Minh Khoi Tran, Wenhui Li, Shu Xiang, Heyu Zhou, Weizhi Nie, Anan Liu, Yuting Su, Minh Triet Tran, Ngoc Minh Bui, Trong Le Do, Tu V. Ninh, Tu Khiem Le, Anh Vu Dao, Vinh Tiep Nguyen, Minh N. Do, Anh Duc Duong, Binh Son Hua, Lap Fai Yu, Duc Thanh NguyenSai Kit Yeung

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

Abstract

Recent advances in consumer-grade depth sensors have enable the collection of massive real-world 3D objects. Together with the rise of deep learning, it brings great potential for large-scale 3D object retrieval. In this challenge, we aim to study and evaluate the performance of 3D object retrieval algorithms with RGB-D data. To support the study, we expanded the previous ObjectNN dataset [HTT17] to include RGB-D objects from both SceneNN [HPN16] and ScanNet [DCS17], with the CAD models from ShapeNetSem [CFG15]. Evaluation results show that while the RGB-D to CAD retrieval problem is indeed challenging due to incomplete RGB-D reconstructions, it can be addressed to a certain extent using deep learning techniques trained on multi-view 2D images or 3D point clouds. The best method in this track has a 82% retrieval accuracy.

Original languageEnglish (US)
Title of host publicationEG 3DOR 2018 - Eurographics Workshop on 3D Object Retrieval
PublisherEurographics Association
Pages45-52
Number of pages8
ISBN (Electronic)9783038680536
DOIs
StatePublished - 2018
Event11th Eurographics Workshop on 3D Object Retrieval, 3DOR 2018 - Delft, Netherlands
Duration: Apr 16 2018 → …

Publication series

NameEurographics Workshop on 3D Object Retrieval, EG 3DOR
Volume2018-April
ISSN (Print)1997-0463
ISSN (Electronic)1997-0471

Conference

Conference11th Eurographics Workshop on 3D Object Retrieval, 3DOR 2018
CountryNetherlands
CityDelft
Period4/16/18 → …

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

Fingerprint Dive into the research topics of 'SHREC'18: RgB-D object-to-cad retrieval'. Together they form a unique fingerprint.

  • Cite this

    Pham, Q. H., Tran, M. K., Li, W., Xiang, S., Zhou, H., Nie, W., Liu, A., Su, Y., Tran, M. T., Bui, N. M., Do, T. L., Ninh, T. V., Le, T. K., Dao, A. V., Nguyen, V. T., Do, M. N., Duong, A. D., Hua, B. S., Yu, L. F., ... Yeung, S. K. (2018). SHREC'18: RgB-D object-to-cad retrieval. In EG 3DOR 2018 - Eurographics Workshop on 3D Object Retrieval (pp. 45-52). (Eurographics Workshop on 3D Object Retrieval, EG 3DOR; Vol. 2018-April). Eurographics Association. https://doi.org/10.2312/3dor.20181052