Robust Detection of Lines Using the Progressive Probabilistic Hough Transform

By Jiri Matas, C. Galambos, Josef Kittler. Computer Vision and Image Understanding, 2000

643 citations recorded by the source corpus.

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A Sensor-Fusion Drivable-Region and Lane-Detection System for Autonomous Vehicle Navigation in Challenging Road Scenarios (2014, background): “3) PPHT: The PPHT [56] is a variation of the standard Hough transform (HT) [57].”
Vehicle Detection Based on Multi-feature Clues and Dempster-Shafer Fusion Theory (2013, methodology): “−90◦ θ ≤ −90◦ + τ Note that because ρ is considered in PPHT for positive and negative values, θ is only in the range between −90◦ to +90◦.”
LSD: A Fast Line Segment Detector with a False Detection Control (2010, methodology): “A good example is the Progressive Probabilistic Hough Transform (PPHT) proposed by Matas et al. [18], [12].”
EDLines: A real-time line segment detector with a false detection control (2011, methodology): “…of the Hough transform (HT), e.g., Randomized Hough transform (Xu et al., 1990), Progressive Probabilistic Hough transform (Kiryati et al., 1991; Matas et al., 2000; Galambos et al., 2001), Elliptical Gaussian kernel-based Hough transform (Fernandes and Oliveira, 2008; KHT software package),…”