ColourFAST: GPU-based Feature Point Detection and Tracking on Mobile Devices

被引：0

作者：

Ensor, Andrew ^{[1
]}

Hall, Seth ^{[1
]}

机构：

[1] AUT Univ, Sch Comp & Math Sci, Auckland, New Zealand

来源：

PROCEEDINGS OF 2013 28TH INTERNATIONAL CONFERENCE ON IMAGE AND VISION COMPUTING NEW ZEALAND (IVCNZ 2013) | 2013年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A realtime feature point detection algorithm called ColourFAST is introduced. ColourFAST extracts vector-based feature strength and direction measures from the colour channels of any pixel in an image. The extracted information is applied to create an effective feature point tracker. These feature point. and tracker algorithms have a pipeline design optimized for GPU processors. Results are provided for an implementation on mobile devices developed using programmable shaders. Its performance demonstrates several improvements over conventional FAST feature point detection and Lucas-Kanade tracking.

引用

页码：124 / 129

页数：6

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