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Conference Papers Year : 2013

Depth-Assisted Rectification of Patches Using RGB-D Consumer Devices to Improve Real-Time Keypoint Matching

Abstract

This paper presents a method named Depth-Assisted Rectification of Patches (DARP), which exploits depth information available in RGB-D consumer devices to improve keypoint matching of perspectively distorted images. This is achieved by generating a projective rectification of a patch around the keypoint, which is normalized with respect to perspective distortions and scale. The DARP method runs in real-time and can be used with any local feature detector and descriptor. Evaluations with planar and non-planar scenes show that DARP can obtain better results than existing keypoint matching approaches in oblique poses.
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Dates and versions

hal-00829930 , version 1 (04-06-2013)

Identifiers

  • HAL Id : hal-00829930 , version 1

Cite

João Paulo Lima, Francisco Simoes, Hideaki Uchiyama, Veronica Teichrieb, Eric Marchand. Depth-Assisted Rectification of Patches Using RGB-D Consumer Devices to Improve Real-Time Keypoint Matching. Int. Conf. on Computer Vision Theory and Applications, Visapp 2013, Feb 2013, Barcelona, Spain. pp.651-656. ⟨hal-00829930⟩
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