Towards Recognizing of 3D Models Using A Single Image

Simple item page
dc.contributor.authorRashwan, Hatem A.en_US
dc.contributor.authorChambon, Sylvieen_US
dc.contributor.authorMorin, Geraldineen_US
dc.contributor.authorGurdjos, Pierreen_US
dc.contributor.authorCharvillat, Vincenten_US
dc.contributor.editorIoannis Pratikakis and Florent Dupont and Maks Ovsjanikoven_US
dc.date.accessioned2017-04-22T17:17:46Z
dc.date.available2017-04-22T17:17:46Z
dc.date.issued2017
dc.description.abstractAs 3D data is getting more popular, techniques for retrieving a particular 3D model are necessary. We want to recognize a 3D model from a single photograph; as any user can easily get an image of a model he/she would like to find, requesting by an image is indeed simple and natural. However, a 2D intensity image is relative to viewpoint, texture and lighting condition and thus matching with a 3D geometric model is very challenging. This paper proposes a first step towards matching a 2D image to models, based on features repeatable in 2D images and in depth images (generated from 3D models); we show their independence to textures and lighting. Then, the detected features are matched to recognize 3D models by combining HOG (Histogram Of Gradients) descriptors and repeatability scores. The proposed methods reaches a recognition rate of 72% among 12 3D objects categories, and outperforms classical feature detection techniques for recognizing 3D models using a single image.en_US
dc.description.sectionheadersPaper Session II
dc.description.seriesinformationEurographics Workshop on 3D Object Retrieval
dc.identifier.doi10.2312/3dor.20171062
dc.identifier.isbn978-3-03868-030-7
dc.identifier.issn1997-0471
dc.identifier.pages129-134
dc.identifier.urihttps://doi.org/10.2312/3dor.20171062
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/3dor20171062
dc.publisherThe Eurographics Associationen_US
dc.titleTowards Recognizing of 3D Models Using A Single Imageen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
129-134.pdf
Size:
4.9 MB
Format:
Adobe Portable Document Format
Download
Collections
3DOR 17