Real-Time Detection of Lines and Grids [electronic resource] :By PClines and Other Approaches / by Adam Herout, Markéta Dubská, Jiří Havel.
by Herout, Adam [author.]; Dubská, Markéta [author.]; Havel, Jiří [author.]; SpringerLink (Online service).
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Item type | Current location | Call number | Status | Date due | Barcode |
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TK7882.P3 (Browse shelf) | Available | ||||
Long Loan | MAIN LIBRARY | Q337.5 (Browse shelf) | Available |
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TK7882.P3 3D Computer Vision | TK7882.P3 Matrix Transforms for Computer Games and Animation | TK7882.P3 Handbook of Iris Recognition | TK7882.P3 Real-Time Detection of Lines and Grids | TK7882.P3 Image and Video-Based Artistic Stylisation | TK7882.P3 Imaging Spectroscopy for Scene Analysis | TK7882.P3 Motion History Images for Action Recognition and Understanding |
Introduction -- Review of Hough Transform for Line Detection -- Variants of the Hough Transform for Straight Line Detection -- PClines - Line Parameterization Based on Parallel Coordinates -- Vanishing Points, Parallel Lines, Grids -- Efficient Implementation of PClines -- Conclusion -- PClines Octave Implementation -- Cross-Ratio in Matrix Form -- Horizon Orientation and Resampling Function -- Proof of the Equation for the Grid Lines.
This text provides a survey of the latest research into the Hough transform for line detection and its contemporary developments. Written with students in mind, this work can serve as a condensed textbook and as a reference for practitioners working in computer vision. The text also presents an overview and detailed elaboration of recent research related to PClines – a line parameterization based on parallel coordinates. A detailed analysis of the concept is given, including implementation details and measurements. One chapter discusses the detection of chessboard-like patterns, and sets of parallel lines and lines coincident with one (vanishing) point – a topic with many applications, such as 2D barcodes, aerial images, and architecture recognition. The work summarizes recent research in the field, and analyses new advances achieved using the PClines parameterization.
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