Search Results - ((sift algorithm) OR (based algorithm))

Facial features point localization using modified SIFT scale space / Zulfikri Paidi by Paidi, Zulfikri

“…Three tests were used on the original SIFT algorithm and modified SIFT. The first test is to evaluate the accuracy of the built-in vector feature. …”
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Analysis Of Sift And Surf Algorithms For Image Mosaicing On Embedded Platform by Ooi , Chong Wei

“…Experimental results shows that SURF and SIFT are robust algorithm performing stable key point detection. …”
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Panoramic image matching method for UAV remote sensing based of sift algorithm by Emran Izzuddin Mohd Suib

A biometric fingerprint recognition system utilizing the Scale Invariant Feature Transform (SIFT) algorithm for border crossing by Hamzah N.A., Jaaz Z.A., Al-Bakri N.F., Tawfeq J.F., Radhi A.D.

Subjects:

“myHerbs”: A mobile based application for herbal leaf recognition using sift / Nur Nabilah Abu Mangshor …[et al.] by Abu Mangshor, Nur Nabilah, Abdul Rahman, Mohamed Al Arabee, Sabri, Nurbaity, Ibrahim, Shafaf, Ibrahim, Zaidah, Shari, Anis Amilah

“…In addition, it also contributes to the exploration and implementation of learning algorithm in mobile-based application.…”
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Image authentication using Scale Invariant Feature Transform (SIFT) / Nurul Anis Suriana Adnan by Adnan, Nurul Anis Suriana

“…The proposed system is based on Scale Invariant Feature Transform (SIFT) algorithm that is invariant to translations, rotations, and scaling information in the image domain.…”
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IMAGE STITCHING USING HARRIS CORNER & SIFT FEATURES by SHAMSUL KAMAR, FARAH AZLIN

“…In this project work, the objective is to implement and design an algorithm of image stitching construction with approaches of two types of feature based, which are Harris corner and Scale-Invariant Feature Transform (SIFT) features method. …”
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A keypoint based copy-move forgery detection and localization in digital images / Somayeh Sadeghi by Somayeh, Sadeghi

“…The true and false positive rates achieved by the proposed algorithm outperform several current detection algorithms.…”
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An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding by Safa, Soodabeh, Khalid, Fatimah

“…Classic bag of visual words algorithm is based on k-means clustering and every SIFT features belongs to one cluster and it leads to decreasing classification results. …”
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Multispectral palm vein image fusion for contactless palm vein verification system by Soh, Shi Chuan

“…SIFT algorithm achieved a reduction in EER rate by 12% in 700 nm, 8% in 850 nm, 7% in 940 nm compared with the SURF algorithm. …”
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Benchmarking in silico tools for the functional assessment of DNA variants using a set of strictly pharmacogenetic variants by Chua, Eng Wee, Goh, Chian Siang

“…SIFT assumes that important DNA bases within a gene are conserved and not amenable to substitution. …”
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Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning by Safa, Soodabeh

“…To overcome this problem, in recent years, researchers obtained some achievements with combination of invariant local features such as Scale Invariant Feature Transform (SIFT) with global feature of leaf images. Beside that, classic bag of visual words algorithm (BoVW) is based on kmeans clustering and every SIFT feature belongs to one cluster and it leads to decreasing classification results. …”
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Object Localization In 3D Point Cloud by Chung, Hui Sze

“…The results of object localization are often affected by many factors such as the quality of the point clouds and the sensitivity of the algorithms to the occlusion in the point clouds. This project provides an efficient algorithm that is able to recognize and localize more than one object from the scene at the same time and is also able to perform localization of an object which undergoes a transformation. …”
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Improved SIFT algorithm for place categorization by Said, Yunusa Ali, Marhaban, Mohammad Hamiruce, Ahmad, Siti Anom, Ramli, Abd Rahman

“…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. …”
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A real-time mobile notification system for inventory stock out detection using SIFT and RANSAC by Merrad, Yacine, Habaebi, Mohamed Hadi, Islam, Md Rafiqul, Gunawan, Teddy Surya

“…The proposed method is a machine learning based real-time notification system using the exciting Scale Invariant Feature Transform feature detector (SIFT) and Random Sample Consensus (RANSAC) algorithms. …”
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Automatic keypoints extraction from UAV image with refine and improved scale invariant features transform (RI-SIFT) by Dibs, Hayder, Idrees, Mohammed Oludare, Saeidi, Vahideh, Mansor, Shattri

“…First the RI- SIFT algorithm was used to detect and extract CPs from two overlapping UAV images. …”
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Temporal video segmentation using squared form of Krawtchouk-Tchebichef moments by Abdulhussain, Sadiq H.

“…The performance of the proposed algorithm is compared to that of several state-of-the-art TVS algorithms. …”
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Steep slope DEM model construction based on the unmanned aerial vehicle (UAV) images by Xi, Wenfei, Li, Dongsheng

“…First of all, the high and steep slope image was obtained through unmanned aerial vehicle (UAV) platform; Then the SIFT algorithm is used to extract the feature points which are going to be matched accurately by using RANSAC algorithm. …”
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Effective salience-based fusion model for image retrieval by Mansourian, Leila

“…Therefore, the second objective of this research was to establish a new Salient Dominant Color Descriptor (SDCD) to estimate the number of colors in a salient region using an easily implemented algorithm. Based on the results, it was found that if the maximum Euclidean color distance (dmax) was set to 20, as suggested by other researchers, more accurate results were obtained.The DCD is both low-dimensional and less expensive for representing image colors compared to the previous BoVW model that concentrated on the Color Scale Invariant Feature Transform (CSIFT), combinations of color SIFTs extracted from different color spaces, and opponent-color SIFTs extracted from opponent color spaces to add color information to a SIFT. …”
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Waste classification using support vector machine with SIFT-PCA feature extraction by Puspaningrum, Adita Putri, Endah, Sukmawati Nur, Sasongko, Priyo Sidik, Kusumaningrum, Retno, ., Khadijah, ., Rismiyati, Ernawan, Ferda

“…The performance of the SVM classification using SIFT feature is compared with the similar algorithm with SIFT-PCA combined feature. …”
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