Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data

ICCV 2019 Mikaela Angelina UyQuang-Hieu PhamBinh-Son HuaDuc Thanh NguyenSai-Kit Yeung

Deep learning techniques for point cloud data have demonstrated great potentials in solving classical problems in 3D computer vision such as 3D object classification and segmentation. Several recent 3D object classification methods have reported state-of-the-art performance on CAD model datasets such as ModelNet40 with high accuracy (~92%)... (read more)

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