ISSN 2394-5125
 

Research Article 


Deep learning based 3D object recognition using geometric shapes and sizes

Sun-hwa Cho, Moon-hyun Kim.

Abstract
For many robotics and VR / AR applications, 3D video is an easy-to-use input source. However, point cloud analysis is a difficult task because it is difficult to capture the shape implied by irregular points. In this paper, a point cloud is created from the image acquired through the RGB-D sensor, and geometric shape classification and size information such as plane, sphere, cylinder, cone, and toroid are extracted through FindSurface. The size information derived from this is input to the basic data set to train in the machine learning module, and the object is recognized. Since 3D object recognition is performed through simple machine learning using only geometric shape and size information, it has a great advantage in terms of time and cost compared to deep learning using voxel or point cloud. Experimental results show that our model is noise resistant and outperforms the latest technology in 3D point cloud classification.

Key words: FindSurface, point cloud, 3d object recognition, deep learning, geometric shapes


 
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Pubmed Style

Sun-hwa Cho, Moon-hyun Kim. Deep learning based 3D object recognition using geometric shapes and sizes. JCR. 2020; 7(17): 2104-2113. doi:10.31838/jcr.07.17.259


Web Style

Sun-hwa Cho, Moon-hyun Kim. Deep learning based 3D object recognition using geometric shapes and sizes. http://www.jcreview.com/?mno=40811 [Access: May 30, 2021]. doi:10.31838/jcr.07.17.259


AMA (American Medical Association) Style

Sun-hwa Cho, Moon-hyun Kim. Deep learning based 3D object recognition using geometric shapes and sizes. JCR. 2020; 7(17): 2104-2113. doi:10.31838/jcr.07.17.259



Vancouver/ICMJE Style

Sun-hwa Cho, Moon-hyun Kim. Deep learning based 3D object recognition using geometric shapes and sizes. JCR. (2020), [cited May 30, 2021]; 7(17): 2104-2113. doi:10.31838/jcr.07.17.259



Harvard Style

Sun-hwa Cho, Moon-hyun Kim (2020) Deep learning based 3D object recognition using geometric shapes and sizes. JCR, 7 (17), 2104-2113. doi:10.31838/jcr.07.17.259



Turabian Style

Sun-hwa Cho, Moon-hyun Kim. 2020. Deep learning based 3D object recognition using geometric shapes and sizes. Journal of Critical Reviews, 7 (17), 2104-2113. doi:10.31838/jcr.07.17.259



Chicago Style

Sun-hwa Cho, Moon-hyun Kim. "Deep learning based 3D object recognition using geometric shapes and sizes." Journal of Critical Reviews 7 (2020), 2104-2113. doi:10.31838/jcr.07.17.259



MLA (The Modern Language Association) Style

Sun-hwa Cho, Moon-hyun Kim. "Deep learning based 3D object recognition using geometric shapes and sizes." Journal of Critical Reviews 7.17 (2020), 2104-2113. Print. doi:10.31838/jcr.07.17.259



APA (American Psychological Association) Style

Sun-hwa Cho, Moon-hyun Kim (2020) Deep learning based 3D object recognition using geometric shapes and sizes. Journal of Critical Reviews, 7 (17), 2104-2113. doi:10.31838/jcr.07.17.259