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Conference papers
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.
Cited literature [17 references]
https://hal.inria.fr/hal-00829930
Contributor : Eric Marchand <>
Submitted on : Tuesday, June 4, 2013 - 10:22:24 AM
Last modification on : Wednesday, June 16, 2021 - 3:41:59 AM
Long-term archiving on: : Thursday, September 5, 2013 - 4:20:51 AM
Contributor : Eric Marchand <>
Submitted on : Tuesday, June 4, 2013 - 10:22:24 AM
Last modification on : Wednesday, June 16, 2021 - 3:41:59 AM
Long-term archiving on: : Thursday, September 5, 2013 - 4:20:51 AM
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2013_visapp_lima.pdf
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