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Deep transfer learning for MR image feature point descriptors

Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019
In order to solve the internal feature matching problem of nonlinear flexible biological tissues in MR images, This paper proposes a feature point descriptor generation model based on transfer learning and convolutional neural networks TBNet . Firstly, the Siamese network structure model is combined with transfer learning to obtain a pre-trained CNN ...
Chen Jia   +4 more
openaire   +1 more source

Robust Wide Baseline Feature Point Matching Based on Scale Invariant Feature Descriptor

2008
This paper proposed a robust point matching method for wide baseline in order to achieve a large number of correct correspondences and high accuracy. To cope with large variations of scale and rotation, a feature descriptor, that is robust to scale and view-point, is added to the feature detection phase and it is included in the equations of the ...
Sicong Yue   +2 more
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Enhanced histogram feature descriptor for automated point cloud registration

2016 35th Chinese Control Conference (CCC), 2016
In this paper, we propose an enhanced feature descriptor based on point feature histograms for fully automated point cloud registration task. To eliminate the overflow problem of reciprocal weights, the distance between the query point and its neighbouring point is utilized to support a exponential weight for each feature signature.
GuanHao Wang, Ning Li, Shaoyuan Li
openaire   +1 more source

MCOV: A Covariance Descriptor for Fusion of Texture and Shape Features in 3D Point Clouds

2014 2nd International Conference on 3D Vision, 2014
In this paper we propose MCOV, a covariance-based descriptor for the fusion of shape and color information of 3D surfaces with associated texture aiming at a robust characterization and matching of areas in 3D point clouds. The proposed descriptor is based on the notion of covariance in order to create compact representations of the variations of ...
Pol Cirujeda   +3 more
openaire   +1 more source

Points and Descriptors-Net Model for SIFT Features Learning

2023 6th International Conference on Signal Processing and Machine Learning (SPML), 2023
Jie Li 0080   +6 more
openaire   +2 more sources

Evaluation of feature points descriptors' performance for visual finger printing localization of smartphones

2018 IEEE/ION Position, Location and Navigation Symposium (PLANS), 2018
Visual information are among the useful sources that can be used to localize a smartphone device. Visual information can be used in the process of image matching based on a pre-built database and Visual Map (A map tagged with images). There are different number of feature detection/description algorithms. These algorithms vastly differ in the accuracy,
Ilyar Abadi   +2 more
openaire   +1 more source

Neural network-based feature point descriptors for registration of optical and SAR images

Tenth International Conference on Machine Vision (ICMV 2017), 2018
Registration of images of different nature is an important technique used in image fusion, change detection, efficient information representation and other problems of computer vision. Solving this task using feature-based approaches is usually more complex than registration of several optical images because traditional feature descriptors (SIFT, SURF,
Dmitry Abulkhanov   +5 more
openaire   +2 more sources

CI-SHOT: A Statistical Method for Binary Feature Descriptor on 3D Point Clouds

2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2018
3D feature descriptors play an important role in the field of computer vision because it is a pre-requisite for many 3D vision applications. Although many such descriptors exist so far, most of them represent in the form of floating vector, which leads to several problems such as computational complexity and costly memory footprint in the feature ...
Liangjie Du, Huasong Min, Yunhan Lin
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Compression for the feature points with binary descriptors

2014 19th International Conference on Digital Signal Processing, 2014
Jian-Jiun Ding   +4 more
openaire   +1 more source

SAFD: A Statistical Analysis-Based Feature Point Descriptor

2023 12th International Conference of Information and Communication Technology (ICTech), 2023
Liaomo Zheng   +3 more
openaire   +1 more source

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