LSD: A Fast Line Segment Detector with a False Detection Control Page 1 LSD: A Fast Line
Segment Detector with a False Detection Control Rafael Grompone von Gioi, Jérémie …

LSD is a linear-time Line Segment Detector giving subpixel accurate results. It is designed to
work on any digital image without parameter tuning. It controls its own number of false …

This paper presents a region-partition based attraction field dual representation for line
segment maps, and thus poses the problem of line segment detection (LSD) as the region …

A new hybrid vehicle detection scheme which integrates the Viola-Jones (VJ) and linear
SVM classifier with HOG feature (HOG+ SVM) methods is proposed for vehicle detection …

Previous deep learning-based line segment detection (LSD) suffers from the immense
model size and high computational cost for line prediction. This constrains them from real …

In this paper we propose a comprehensive method for detecting straight line segments in
any digital image, accurately controlling both false positive and false negative detections …

This paper presents regional attraction of line segment maps, and hereby poses the problem
of line segment detection (LSD) as a problem of region coloring. Given a line segment map …

We present a novel real-time line segment detection scheme called Line Graph Neural
Network (LGNN). Existing approaches require a computationally expensive verification or …

Global voting schemes based on the Hough transform (HT) have been widely used to
robustly detect lines in images. However, since the votes do not take line connectivity into …

We introduce FOVEA: a foveated vergent active stereo vision system. FOVEA actively directs
a pair of vergent stereo cameras to fixate on surfaces in a scene, performing multiresolution …