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Voxel Cloud Connectivity Segmentation - Supervoxels for Point Clouds

https://doi.org/10.1109/cvpr.2013.264

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-540-85920-8_22openalex-snapshot

How Do Superpixels Affect Image Segmentation?

inferredcites →https://doi.org/10.1007/978-3-642-15555-0_16openalex-snapshot

Superpixels and Supervoxels in an Energy Optimization Framework

inferredcites →https://doi.org/10.1007/978-3-642-33715-4_54openalex-snapshot

Indoor Segmentation and Support Inference from RGBD Images

inferredcites →https://doi.org/10.1109/cvpr.2008.4587471openalex-snapshot

Superpixel lattices

inferredcites →https://doi.org/10.1109/cvpr.2010.5540070openalex-snapshot

Layered object detection for multi-class segmentation

inferredcites →https://doi.org/10.1109/iccv.2003.1238308openalex-snapshot

Learning a classification model for segmentation

inferredcites →https://doi.org/10.1109/iccv.2009.5459175openalex-snapshot

Class segmentation and object localization with superpixel neighborhoods

inferredcites →https://doi.org/10.1109/icip.2003.1247294openalex-snapshot

Histogram intersection kernel for image classification

inferredcites →https://doi.org/10.1109/icra.2011.5980382openalex-snapshot

A large-scale hierarchical multi-view RGB-D object dataset

inferredcites →https://doi.org/10.1109/icra.2011.5980567openalex-snapshot

3D is here: Point Cloud Library (PCL)

inferredcites →https://doi.org/10.1109/robot.2009.5152473openalex-snapshot

Fast Point Feature Histograms (FPFH) for 3D registration

inferredcites →https://doi.org/10.1109/tpami.2009.96openalex-snapshot

TurboPixels: Fast Superpixels Using Geometric Flows

inferredcites →https://doi.org/10.1109/tpami.2012.120openalex-snapshot

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

inferredcites →https://doi.org/10.1145/2207676.2208335openalex-snapshot

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Interval Sorting Optimisation Method for Fast Supervoxel Segmentation Based on Manhattan Distance Metric

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Deep Learning Based Semantic Labelling of 3D Point Cloud in Visual SLAM

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A 3D vision-guided adaptive trajectory correction system for robot offline programming

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3D sorghum reconstructions from depth images identify QTL regulating shoot architecture

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Segmentation of 3D Lidar Points Using Extruded Surface of Cross Section

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3D Object Discovery and Modeling Using Single RGB-D Images Containing Multiple Object Instances

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Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering

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Is Clustering Enough for LiDAR Instance Segmentation? A State-of-the-Art Training-Free Baseline

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On the Fly Plane Detection and Time Consistency for Indoor Building Wall Recognition Using a Tablet Equipped With a Depth Sensor

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Object-Level Segmentation of Indoor Point Clouds by the Convexity of Adjacent Object Regions

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Color Point Cloud Registration Based on Supervoxel Correspondence

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RGB-D Tracking and Optimal Perception of Deformable Objects

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A Multiresolution Approach for Large Real-World Camera Placement Optimization Problems

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A Supervoxel Segmentation Method With Adaptive Centroid Initialization for Point Clouds

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Boundary-Aware Supervoxel Segmentation for Indoor 3D Point Clouds

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Using Semantic Segmentation to Assist the Creation of Interactive VR Applications

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OpenXtract: A Blender Add-On for the Accelerated Extraction of the Objects of Interest

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Unveiling the Road Matrix: Development of Versatile Pavement Surface Models from Low-resolution Aerial Images

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Recognition of Disordered Targets for Robot Based on 3D Visual Clustering and Matching

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Mixed Normal Vector Estimation Strategy for Unstructured Point Clouds

inferred← citeshttps://doi.org/10.1109/ccdc69976.2026.11560127openalex-snapshot

Real-Time Crankshaft 3D Metrology via Adaptive Boundary Extraction and Registration-Constrained Cylinder Fitting

inferred← citeshttps://doi.org/10.1109/ccece68150.2026.11610286openalex-snapshot

Multi-Modal Robot Path Planning for Complex Outdoor Terrain

inferred← citeshttps://doi.org/10.1109/conit55038.2022.9848353openalex-snapshot

3DVAEReCNN: Region-based Convolutional Neural Network for Volumetric Rendering of Indoor Scenes

inferred← citeshttps://doi.org/10.1109/crv.2015.24openalex-snapshot

CPS: 3D Compositional Part Segmentation through Grasping

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Object Partitioning Using Local Convexity

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Constrained planar cuts - Object partitioning for point clouds

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3D Semantic Parsing of Large-Scale Indoor Spaces

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Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning

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Global Transport for Fluid Reconstruction with Learned Self-Supervision

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VS-Net: Voting with Segmentation for Visual Localization

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GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds

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Hierarchical Histogram Threshold Segmentation - Auto-terminating High-detail Oversegmentation

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Hierarchical Intra-Modal Correlation Learning for Label-Free 3D Semantic Segmentation

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FreePoint: Unsupervised Point Cloud Instance Segmentation

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LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds

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Supervoxel-based 3D Segmentation in Complex Scenes

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Obstacle Detection in the surrounding Environment of manipulators based on Point Cloud data

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Exploration of unknown dynamic environments: A visual saliency-based babbling approach

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A New Approach using Characteristic Video Signals to Improve the Stability of Manufacturing Processes

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Retrieval of arbitrary 3D objects from robot observations

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Deconvolutional networks for point-cloud vehicle detection and tracking in driving scenarios

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Segmentation of depth images into objects based on local and global convexity

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Boat Hunting with Semantic Segmentation for Flexible and Autonomous Manufacturing

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Navigating in 3D Uneven Environments Through Supervoxels and Nonlinear MPC

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Octree 3D Visualization Mapping based on Camera Information

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3D point cloud segmentation oriented to the analysis of interactions

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Clustering Method of 3D Point Cloud of Muck-Pile Based on Connectivity of Adjacent Surface

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PLSTMNet: A New Neural Network for Segmentation of Point Cloud

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Real-time hierarchical scene segmentation and classification

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ThuMouse: A Micro-gesture Cursor Input through mmWave Radar-based Interaction

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Semantic map generation algorithm combined with YOLOv5

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Cluster-Based Point Set Saliency

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Joint Layout Estimation and Global Multi-view Registration for Indoor Reconstruction

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Superpoint Network for Point Cloud Oversegmentation

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ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation

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Efficient 3D Semantic Segmentation with Superpoint Transformer

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Efficient LiDAR Point Cloud Oversegmentation Network

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