5 papers
A Tiny Machine Learning Model for Point Cloud Object Classification
Min Zhang, Jintang Xue, Pranav Kadam +3
The design of a tiny machine learning model, which can be deployed in mobile and edge devices, for point cloud object classification is investigated in this work. To achieve this o…
PointFlowHop: Green and Interpretable Scene Flow Estimation from Consecutive Point Clouds
Pranav Kadam, Jiahao Gu, Shan Liu +1
An efficient 3D scene flow estimation method called PointFlowHop is proposed in this work. PointFlowHop takes two consecutive point clouds and determines the 3D flow vectors for ev…
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification
Pranav Kadam, Hardik Prajapati, Min Zhang +3
Many point cloud classification methods are developed under the assumption that all point clouds in the dataset are well aligned with the canonical axes so that the 3D Cartesian po…
PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation
Pranav Kadam, Qingyang Zhou, Shan Liu +1
An unsupervised point cloud object retrieval and pose estimation method, called PCRP, is proposed in this work. It is assumed that there exists a gallery point cloud set that conta…
GreenPCO: An Unsupervised Lightweight Point Cloud Odometry Method
Pranav Kadam, Min Zhang, Jiahao Gu +2
Visual odometry aims to track the incremental motion of an object using the information captured by visual sensors. In this work, we study the point cloud odometry problem, where o…