Results 21 to 30 of about 107,056 (298)
ASIFT: An Algorithm for Fully Affine Invariant Comparison
Image Processing On Line, 2011 If a physical object has a smooth or piecewise smooth boundary, its images obtained by cameras in varying positions undergo smooth apparent deformations. These deformations are locally well approximated by affine transforms of the image plane.
Guoshen Yu, Jean-Michel Morel
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Comparison of spatial domain optimal trade-off maximum average correlation height (OT-MACH) filter with scale invariant feature transform (SIFT) using images with poor contrast and large illumination gradient [PDF]
, 2015 A spatial domain optimal trade-off Maximum Average Correlation Height (OT-MACH) filter has been previously developed and shown to have advantages over frequency domain implementations in that it can be made locally adaptive to spatial variations in the ...
Alkandri, A +5 more
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Large Aerial Image Tie Point Matching in Real and Difficult Survey Areas via Deep Learning Method
Remote Sensing, 2022 Image tie point matching is an essential task in real aerial photogrammetry, especially for model tie points. In current photogrammetry production, SIFT is still the main matching algorithm because of the high robustness for most aerial image tie points ...
Xiuliu Yuan +3 more
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Improved SIFT algorithm for place categorization [PDF]
, 2015 The main aim of this paper is an improvement of the famous Scale Invariant Feature Transform (SIFT) algorithm used in place categorization. Masking approach to reduce the computational complexity of SIFT have been proposed.
Ahmad, Siti Anom +3 more
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Research of face recognition method of underground personnel
Gong-kuang zidonghua, 2015 In view of problem of low recognition accuracy caused by sudden change of illumination, change of face view angle and external obstacle, a face recognition method based on SIFT feature in hidden Markov model(HMM) was proposed.
YANG Zhuo
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Packing and Padding: Coupled Multi-index for Accurate Image Retrieval [PDF]
, 2014 In Bag-of-Words (BoW) based image retrieval, the SIFT visual word has a low discriminative power, so false positive matches occur prevalently. Apart from the information loss during quantization, another cause is that the SIFT feature only describes the ...
Liu, Ziqiong +3 more
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IET Computer Vision, 2014 Wide baseline stereo matching is a challenging task because of the presence of significant geometric deformations and illumination changes within the images.
Huachao Yang, Mei Yu, Shubi Zhang
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IEEE Access, 2018 In this paper, a novel remote sensing image registration method based on phase congruency (PC) and spatial constraint is proposed. PC can provide intrinsic and meaningful image features, even when there are complex intensity changes or noise.
Wenping Ma +4 more
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Improving the matching precision of SIFT [PDF]
, 2014 International audienceMatching precision of scale-invariant feature transform (SIFT) is evaluated and improved in this paper. The aim of the paper is not to invent a new feature detector more invariant than the others.
Monasse, Pascal +2 more
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Automatic adaptation of SIFT for robust facial recognition in uncontrolled lighting conditions
IET Computer Vision, 2018 The scale invariant feature transform (SIFT), which was proposed by David Lowe, is a powerful method that extracts and describes local features called keypoints from images. These keypoints are invariant to scale, translation, and rotation, and partially
Meriama Mahamdioua, Mohamed Benmohammed
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