Local descriptor for retinal fundus image registration
IET Computer Vision, 2020 A feature‐based retinal image registration (RIR) technique aligns multiple fundus images and composed of pre‐processing, feature point extraction, feature descriptor, matching and geometrical transformation.
Roziana Ramli +7 more
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Local Feature Descriptor Based on Stationary Wavelet Transform and Intensity Order [PDF]
Jisuanji gongcheng, 2017 The nonlinear illumination changes of local region frequently have a negative impact on the stability of local feature descriptor.In order to solve the problem,a local feature descriptor based on Stationary Wavelet Transform(SWT) and intensity order is ...
FANG Yiguang,YAN Pu,LIU Wu,ZHANG Ji,TAN Shoubiao
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Improving music genre classification using automatically induced harmony rules [PDF]
, 2010 We present a new genre classification framework using both low-level signal-based features and high-level harmony features. A state-of-the-art statistical genre classifier based on timbral features is extended using a first-order random forest containing
Anglade, A. +3 more
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Compact and low-complexity binary feature descriptor and Fisher Vectors for video analytics [PDF]
, 2019 In this paper, we propose a compact and low- complexity binary feature descriptor for video analytics. Our binary descriptor encodes the motion information of a spatio- temporal support region into a low-dimensional binary string. The descriptor is based
Leyva, Roberto +2 more
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Learning Local Feature Descriptors Using Convex Optimisation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014 The objective of this work is to learn descriptors suitable for the sparse feature detectors used in viewpoint invariant matching. We make a number of novel contributions towards this goal. First, it is shown that learning the pooling regions for the descriptor can be formulated as a convex optimisation problem selecting the regions using sparsity ...
Simonyan, K, Vedaldi, A, Zisserman, A
openaire +3 more sources
SRP‐AKAZE: an improved accelerated KAZE algorithm based on sparse random projection
IET Computer Vision, 2020 The AKAZE algorithm is a typical image registration algorithm that has the advantage of high computational efficiency based on non‐linear diffusion.
Dan Li +3 more
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Ekstraksi Fitur Berdasarkan Deskriptor Bentuk Dan Titik Salien Untuk Klasifikasi Citra Ikan Tuna [PDF]
, 2016 . The manual classification of fish causes problems on accuracy and execution time. In the image of tuna, beside the shape feature, local features is also necessary to differentiate the types of fish especially which have a similar shape.
Arifin, A. Z. (Agus) +2 more
core +1 more source
LMFD: lightweight multi-feature descriptors for image stitching
Scientific Reports, 2023 Abstract Image stitching is a fundamental pillar of computer vision, and its effectiveness hinges significantly on the quality of the feature descriptors. However, the existing feature descriptors face several challenges, including inadequate robustness to noise or rotational transformations and limited adaptability during hardware ...
Fan Yang +4 more
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3D shape retrieval based on Laplace operator and joint Bayesian model
Visual Informatics, 2020 Feature analysis plays a significant role in computer vision and computer graphics. In the task of shape retrieval, shape descriptor is indispensable.
Zihao Wang, Hongwei Lin
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Learning Feature Descriptors Using Camera Pose Supervision [PDF]
, 2020 ECCV 2020 (oral)
Wang, Qianqian +3 more
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