| Paper ID | D-3-2.4 |
| Paper Title |
PART-IN-WHOLE TYPE 3D PARTIAL SHAPE RETREIVAL BASED ON CONNECTED FACES WITH POINTNET FEATURES |
| Authors |
Masaki Aono, Wataru Iwabuchi, Toyohashi University of Technology, Japan |
| Session |
D-3-2: Multimedia Analysis and Others |
| Time | Thursday, 10 December, 15:30 - 17:15 |
| Presentation Time: | Thursday, 10 December, 16:15 - 16:30 Check your Time Zone |
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All times are in New Zealand Time (UTC +13) |
| Topic |
Image, Video, and Multimedia (IVM): |
| Abstract |
In this paper, we focus on “part-in-whole” type 3D partial shape retrieval, where we propose a new partial shape representation based on the idea of connected Faces accompanied with the features extracted from PointNet, given 3D shapes data as a solid model with Boundary Representation (BREP). The idea of connected Faces is inspired by the analogy with N-gram in Natural Language Processing. We conducted experiments with an ABC 3D dataset to compare several candidates of partial shape features, and to confirm that connected Faces approach has an advantage over traditional partial shape representations. Specifically, we compared connected Faces approach of PointNet features with SNH (Surface Normal Histogram) as well as PFH (Point Feature Histogram), and found that connected Faces with PointNet outperformed other approaches in terms of several evaluation measures. |