16539

3D Object Recognition with Convolutional Neural Networks

Alberto Garcia-Garcia
Department of Physics, Systems Engineering, and Signal Theory, University of Alicante
University of Alicante, 2016
@article{garcia20163d,

   title={3D Object Recognition with Convolutional Neural Network},

   author={Garcia-Garcia, Alberto},

   year={2016}

}

Download Download (PDF)   View View   Source Source   

613

views

In this work, we propose the implementation of a 3D object recognition system using Convolutional Neural Networks. For that purpose, we first analyzed the theoretical foundations of that kind of neural networks. Next, we discussed ways of representing 3D data in a compact and structured manner to feed the neural network. Those representations consist of a grid-like structure (fixed and adaptive) and a measure for the occupancy of each cell of the grid (binary, normalized point density, and surface intersection). At last, 2.5D and 3D Convolutional Neural Network architectures were implemented and tested using those volumetric representations. The experimentation included an in-depth study of their performance in synthetically simulated adverse conditions that characterize the real-world, i.e., noise and occlusions. The resulting system, the best one out of that experimentation, is able to efficiently recognize objects in three dimensions with a success rate of 85% in a common household CAD objects dataset.
VN:F [1.9.22_1171]
Rating: 4.0/5 (4 votes cast)
3D Object Recognition with Convolutional Neural Networks, 4.0 out of 5 based on 4 ratings

* * *

* * *

TwitterAPIExchange Object
(
    [oauth_access_token:TwitterAPIExchange:private] => 301967669-yDz6MrfyJFFsH1DVvrw5Xb9phx2d0DSOFuLehBGh
    [oauth_access_token_secret:TwitterAPIExchange:private] => o29ji3VLVmB6jASMqY8G7QZDCrdFmoTvCDNNUlb7s
    [consumer_key:TwitterAPIExchange:private] => TdQb63pho0ak9VevwMWpEgXAE
    [consumer_secret:TwitterAPIExchange:private] => Uq4rWz7nUnH1y6ab6uQ9xMk0KLcDrmckneEMdlq6G5E0jlQCFx
    [postfields:TwitterAPIExchange:private] => 
    [getfield:TwitterAPIExchange:private] => ?cursor=-1&screen_name=hgpu&skip_status=true&include_user_entities=false
    [oauth:protected] => Array
        (
            [oauth_consumer_key] => TdQb63pho0ak9VevwMWpEgXAE
            [oauth_nonce] => 1480780038
            [oauth_signature_method] => HMAC-SHA1
            [oauth_token] => 301967669-yDz6MrfyJFFsH1DVvrw5Xb9phx2d0DSOFuLehBGh
            [oauth_timestamp] => 1480780038
            [oauth_version] => 1.0
            [cursor] => -1
            [screen_name] => hgpu
            [skip_status] => true
            [include_user_entities] => false
            [oauth_signature] => ZnURTRCPIuTWzD2m2hEZzcTZDrg=
        )

    [url] => https://api.twitter.com/1.1/users/show.json
)
Follow us on Facebook
Follow us on Twitter

HGPU group

2079 peoples are following HGPU @twitter

HGPU group © 2010-2016 hgpu.org

All rights belong to the respective authors

Contact us: