Results 331 to 340 of about 189,815 (388)

Integrating SIFT and CNN Feature Matching for Partial-Duplicate Image Detection

IEEE Transactions on Emerging Topics in Computational Intelligence, 2020
With the increasing popularity of various deep neural networks in the area of computational intelligence, the research attention for content-based image detection/retrieval has been shifted from the handcrafted local features such as scale invariant ...
Zhili Zhou, Q. M. J. Wu, Shaohua Wan, Wendi Sun, Xingming Sun   +4 more
semanticscholar   +1 more source

Understanding gas phase ion chemistry is the key to reliable SIFT-MS analyses.

Analytical Chemistry, 2020
Ion-molecule reactions (IMR) are at the very core of trace gas analyses in modern chemical ionisation (CI) mass spectrometer instruments, which are increasingly being used in diverse areas of research and industry. The focus of this Perspective is on the
David R. Smith, M. McEwan, P. Španěl
semanticscholar   +1 more source

TOP-SIFT: A New Method for SIFT Descriptor Selection

2015 IEEE International Conference on Multimedia Big Data, 2015
The large amount of SIFT descriptors in an image and the high dimensionality of SIFT descriptor has made problems for large-scale image dataset in terms of speed and scalability. In this paper, we propose a descriptor selection algorithm via dictionary learning and only a small set of features are reserved, which we refer to as TOP-SIFT.
Qilu Zhao, Liu Yujie, Zongmin Li, Xiaoming Chen, Jianping Fan   +4 more
openaire   +2 more sources

Comparison of Feature Detection and Matching Approaches: SIFT and SURF

Global Research and Development Journals
Feature detection and matching are used in image registration, object tracking, object retrieval etc. There are number of approaches used to detect and matching of features as SIFT (Scale Invariant Feature Transform), SURF (Speeded up Robust Feature ...
Darshana Mistry, A. Banerjee
semanticscholar   +1 more source

Combination of SIFT and Canny Edge Detection for Registration Between SAR and Optical Images

IEEE Geoscience and Remote Sensing Letters, 2020
Scale-invariant feature transform (SIFT) has been successfully used for optical image registration, but it cannot produce satisfying results when directly applied to synthetic aperture radar (SAR) images.
Wannan Zhang
semanticscholar   +1 more source

A Method of Acceleration Applied in Symmetric-SIFT and SIFT

2013
Symmetric-SIFT is an effective technique used for registering multimodal images. It is based on a well-known image registration technique named Scale Invariant Feature Transform (SIFT). Similar to SIFT, Symmetric-SIFT detects many stable keypoints even though not all of which are useful.
Qi Wang, Dong Zhao, Haiyan Sun, Xiaopeng Hu   +3 more
openaire   +2 more sources

A New Sample Consensus Based on Sparse Coding for Improved Matching of SIFT Features on Remote Sensing Images

IEEE Transactions on Geoscience and Remote Sensing, 2020
In this article, a new method is proposed for feature matching of remote sensing images using sample consensus based on sparse coding (SCSC) to improve the image registration technique.
Pouriya Etezadifar, H. Farsi
semanticscholar   +1 more source

AH-SIFT: Augmented Histogram based SIFT descriptor

2012 19th IEEE International Conference on Image Processing, 2012
We propose Augmented Histogram (AH), a conceptually novel and systematic approach to enhancing the representational power of histogram-based local image descriptors such as SIFT. Our method takes a simple form that augments the histogram of local image patch features with a set of circular means and variances.
Feng Tang, Hao Tang
openaire   +2 more sources

MI-SIFT

Proceedings of the ACM International Conference on Image and Video Retrieval, 2010
The best known Scale-Invariant Feature Transform (SIFT) shows its superior performance in a variety of image processing tasks due to its distinctiveness, invariance to scale, rotation and local geometric distortion. Despite its remarkable performance, SIFT is not invariant to mirror images and grayscale-inverted images.This paper proposes an improved ...
Zhong Su, Jian Chen, Rui Ma
openaire   +2 more sources

Sifting at the ciliary base [PDF]

Nature Chemical Biology, 2013
Transduction of extracellular signals by cilia requires regulated entry of pathway components. A new study uses chemical dimerization to induce diffusion and identifies size-dependent soluble diffusion rates consistent with a sieve-like barrier with 8-nm pore radii at the ciliary base.
openaire   +2 more sources