Results 261 to 270 of about 29,125 (322)

Advancements in Using AI for Dietary Assessment Based on Food Images: Scoping Review.

J Med Internet Res
Chotwanvirat P, Prachansuwan A, Sridonpai P, Kriengsinyos W.   +3 more
europepmc   +1 more source

Research Progress of the Scale Invariant Feature Transform (SIFT) Descriptors

Journal of Convergence Information Technology, 2010
The SIFT (Scale Invariant Feature Transform) is a computer vision algorithm that is used to detect and describe the local image features. The SIFT features are robust to changes in illumination, noise, and minor changes in viewpoint.
Tao Yue-hua, Youming Xia -, Tianwei Xu, Xiaoxiao Chi   +3 more
semanticscholar   +4 more sources

A parallel hardware architecture for Scale Invariant Feature Transform (SIFT)

2014 International Conference on Multimedia Computing and Systems (ICMCS), 2014
Scale Invariant Feature Transform (SIFT) is an efficient algorithm for extracting distinctive features from images. It is used in many computer vision applications such as object recognition, motion estimation, robot mapping and navigation. Although it has an outstanding performance, its implementation requires extensive computations, and it is very ...
Murad Qasaimeh, Assim Sagahyroon, Tamer Shanableh   +2 more
semanticscholar   +4 more sources

GA-SIFT: A new scale invariant feature transform for multispectral image using geometric algebra

Information Sciences, 2014
Feature analysis plays an important role in many multispectral image applications and scale invariant feature transform (SIFT) has been successfully applied for extraction of image features. However, the existing SIFT algorithms cannot extract features from multispectral images directly.
Yanshan Li, Weiming Liu, LI Xiao-tang, Qinghua Huang, Xuelong Li   +4 more
semanticscholar   +5 more sources

Distinctive Feature Extraction for Indian Sign Language (ISL) Gesture using Scale Invariant Feature Transform (SIFT)

Journal of The Institution of Engineers (India): Series B, 2016
India, having less awareness towards the deaf and dumb peoples leads to increase the communication gap between deaf and hard hearing community. Sign language is commonly developed for deaf and hard hearing peoples to convey their message by generating the different sign pattern.
Sandeep B. Patil, G. R. Sinha
semanticscholar   +4 more sources

Fast image matching for localization in deep-sea based on the simplified SIFT (scale invariant feature transform) algorithm

SPIE Proceedings, 2007
Image matching is one of the most important issues in object localization algorithms, while stable feature detection and representation is a fundamental component of many image matching algorithms. SIFT algorithm has been identified as the most resistant feature extraction method to common image deformations.
Li Liu, Fuyuan Peng, Yan Tian, Yiping Xu, Kun Zhao   +4 more
semanticscholar   +4 more sources

A Parallel Analysis on Scale Invariant Feature Transform (SIFT) Algorithm [PDF]

Advanced Parallel Programming Technologies, 2011
With explosive growth of multimedia data on internet, the effective information retrieval from a large scale of multimedia data becomes more and more important. To retrieve these multimedia data automatically, some features in them must be extracted. Hence, image feature extraction algorithms have been a fundamental component of multimedia retrieval ...
Weihua Zhang, Feiwen Zhu, Lili Liu, Donglei Yang   +3 more
openaire   +2 more sources

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Scale-Invariant Feature Transform (SIFT)

2016
Many real applications require the localization of reference positions in one or more images, for example, for image alignment, removing distortions, object tracking, 3D reconstruction, etc. We have seen that corner points1 can be located quite reliably and independent of orientation.
Mark J. Burge, Wilhelm Burger
openaire   +3 more sources

Arca Detection and Matching Using Scale Invariant Feature Transform (SIFT) Method of Stereo Camera

2017 International Conference on Soft Computing, Intelligent System and Information Technology (ICSIIT), 2017
Arca refers to ancient statues, which belong to Indonesian National Heritage and should be preserved. They are made of stones and woods. Many of arcas found in Indonesia are damaged by human hands and natural disasters. One of the solutions to preserve them is by reconstructing them in form of digital data.
Mauridhi Hery Purnomo, Aviv Yuniar Rahman, Surya Sumpeno   +2 more
openaire   +3 more sources