A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
A new curve detection method: randomized Hough transform (RHT)
Pattern Recognition Letters
A probabilistic Hough transform
Pattern Recognition
A general approach to connected-component labeling for arbitrary image representations
Journal of the ACM (JACM)
Adaptive Termination of Voting in the Probabilistic Circular Hough Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical mesh segmentation based on fitting primitives
The Visual Computer: International Journal of Computer Graphics
HSM3D: feature-less global 6DOF scan-matching in the Hough/Radon domain
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Detection of planar regions in volume data for topology optimization
GMP'08 Proceedings of the 5th international conference on Advances in geometric modeling and processing
Fast and Robust Normal Estimation for Point Clouds with Sharp Features
Computer Graphics Forum
Triangulation-Based plane extraction for 3d point clouds
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part I
Accurate and fast extraction of planar surface patches from 3D point cloud
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
Exploring high-level plane primitives for indoor 3d reconstruction with a hand-held RGB-D camera
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Three-dimensional point cloud plane segmentation in both structured and unstructured environments
Robotics and Autonomous Systems
May i talk about other shops here?: modeling territory and invasion in front of shops
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
Calibration of double stripe 3D laser scanner systems using planarity and orthogonality constraints
Digital Signal Processing
Continuous plane detection in point-cloud data based on 3D Hough Transform
Journal of Visual Communication and Image Representation
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The Hough Transform is a well-known method for detecting parameterized objects. It is the de facto standard for detecting lines and circles in 2-dimensional data sets. For 3D it has attained little attention so far. Even for the 2D case high computational costs have lead to the development of numerous variations for the Hough Transform. In this article we evaluate different variants of the Hough Transform with respect to their applicability to detect planes in 3D point clouds reliably. Apart from computational costs, the main problem is the representation of the accumulator. Usual implementations favor geometrical objects with certain parameters due to uneven sampling of the parameter space. We present a novel approach to design the accumulator focusing on achieving the same size for each cell and compare it to existing designs.