A sub-pixel location method for interest points by means of the Harris interest strength

Qing Zhu, Bo Wu, Neng Wan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

17 Citations (Scopus)

Abstract

The sub-pixel location of interest points is one of the most important tasks in refined image-based 3D reconstruction in digital photogrammetry. The interest point detectors based on the Harris principles are generally used for stereoscopic image matching and subsequent 3D reconstruction. However, the locations of the interest points detected in this way can only be obtained to 1 pixel accuracy. The Harris detector has the following characteristics: (1) the Harris interest strength, which denotes the distinctiveness of an interest point, is a grey scale descriptor which computes the gradient at each sample point in a region around the point, and (2) the Harris interest strengths of the pixels in a template window centred on the interest point exhibit an approximately paraboloid distribution. This paper proposes a precise location method to improve the precision of the interest points on the basis of these characteristics of the Harris interest strength. Firstly, a least squares fit of a paraboloid function to the image grey scale surface using the Harris interest strength is designed in a template window and a Gaussian-distance algorithm is employed to determine the weight. Then, the precise coordinates of this interest point are obtained by calculating the extremities of the fitting surface. The location accuracy of this method is studied both from the theoretical and the practical point of view. Experimental analysis is illustrated with synthetic images as well as actual images, which yielded a location accuracy of 0·15 pixels. Furthermore, experimental results also indicate that this method has the desired anti-image-noise and efficiency characteristics. Journal Compilation 2007 The Remote Sensing and Photogrammetry Society and Blackwell Publishing Ltd.
Original languageEnglish
Pages (from-to)321-335
Number of pages15
JournalPhotogrammetric Record
Volume22
Issue number120
DOIs
Publication statusPublished - 1 Dec 2007
Externally publishedYes

Keywords

  • Gaussian-distance weight determination
  • Harris interest strength
  • Least squares fitting
  • Sub-pixel location

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Computer Science Applications
  • Computers in Earth Sciences
  • Earth and Planetary Sciences (miscellaneous)

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