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Noise-resistant Deep Learning for Object Classification in 3D Point
  Clouds Using a Point Pair Descriptor

Noise-resistant Deep Learning for Object Classification in 3D Point Clouds Using a Point Pair Descriptor

5 April 2018
D. Bobkov
Sili Chen
Ruiqing Jian
M. Z. Iqbal
Eckehard Steinbach
    3DPC
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Papers citing "Noise-resistant Deep Learning for Object Classification in 3D Point Clouds Using a Point Pair Descriptor"

3 / 3 papers shown
Title
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg
Niko Sünderhauf
Feras Dayoub
D. Morrison
Akansel Cosgun
...
Tat-Jun Chin
Ian Reid
Stephen Gould
Peter Corke
Michael Milford
22
115
0
02 Jan 2021
Revisiting Point Cloud Classification: A New Benchmark Dataset and
  Classification Model on Real-World Data
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
Mikaela Angelina Uy
Quang-Cuong Pham
Binh-Son Hua
D. Nguyen
Sai-Kit Yeung
3DV
3DPC
40
763
0
13 Aug 2019
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient
  Convolutional Neural Networks
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
Martin Engelcke
Dushyant Rao
Dominic Zeng Wang
Chi Hay Tong
Ingmar Posner
3DPC
192
522
0
21 Sep 2016
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