Results 211 to 220 of about 22,942 (257)

A SIFT-Based Image Fusion Method

2018 14th IEEE International Conference on Signal Processing (ICSP), 2018
Aimed at the wrong matching appearance when applying Scale Invariant Feature Transform (SIFT) to image fusion. In this paper, we propose to use the SIFT to find the featured points and matched featured points primarily for image fusion. The double Otsu method and average distance threshold segmentation method are used to remove mismatching points and ...
Danxia Lu, Hongjian Shi
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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.
Dong Zhao, Qi Wang, Haiyan Sun, Xiaopeng Hu   +3 more
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SIFT method for paper detection system

2011 International Conference on Multimedia Technology, 2011
Traditional detect method could not deal well with the problem of paper zooming. This paper introduces scale invariant feature transform to the paper detection system. The hardware of paper detection system consists of digital signal processor and complex programmable logic device. The hardware can accomplish image acquisition and processing.
null Juan Zhu, null Shuai Wang, null Fanying Meng   +2 more
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M-SIFT: A new method for Vehicle Logo Recognition

2012 IEEE International Conference on Vehicular Electronics and Safety (ICVES 2012), 2012
In this paper, a new algorithm for Vehicle Logo Recognition is proposed, on the basis of an enhanced Scale Invariant Feature Transform (Merge-SIFT or M-SIFT). The algorithm is assessed on a set of 1500 logo images that belong to 10 distinctive vehicle manufacturers.
Apostolos P. Psyllos, Christos-Nikolaos Anagnostopoulos, Eleftherios Kayafas   +2 more
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An adaptive parameterization method for SIFT based video stabilization

2010 IEEE 39th Applied Imagery Pattern Recognition Workshop (AIPR), 2010
Video stabilization is used to eliminate unwanted shakiness in video caused by movement of the camera. This can be achieved by estimating the motion of the camera, filtering out the high frequency components in the motion path and warping the video frames in order to compensate for the motion.
Varun Santhaseelan, Vijayan K. Asari
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SIFT based geometric distortion correction method

2008 23rd International Symposium on Computer and Information Sciences, 2008
It is very important to cope with geometric distortions especially for robust watermarking systems since these attacks break the synchronization between the watermark and detector. In general, robustness to geometric attacks is considered as a different concept as rotation, scale and translation (RST) invariant watermarking.
Erkan Yavuz, Ziya Telatar
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Coin Recognition Method Based on SIFT Algorithm

2017 4th International Conference on Information Science and Control Engineering (ICISCE), 2017
Coin recognition is one of the prime important activities for modern banking and currency processing systems in which machine vision is widely used. The technique at the heart of such systems is object recognition in a digital image. Although it has high recognition speed, the traditional method of coin recognition can not recognize the coins with ...
Jing Xu, Gongliu Yang, Yuanyuan Liu, Jingjia Zhong   +3 more
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Psychological Type and Biblical Hermeneutics: SIFT Method of Preaching

Rural Theology, 2003
AbstractThis paper draws on Jungian psychology to propose a method of biblical hermeneutics and preaching which takes seriously the psychological functions of sensing (S), intuition (I), feeling (F), and thinking (T). The SIFT method addresses four distinct questions to each passage of scripture, shaped by these four psychological functions.
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Normalization Methods of SIFT Vector for Object Recognition

2011 10th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, 2011
In the clustering of key points, the ratio of inter-class distance and intra-class distance is enlarged using Normalized SIFT vectors. In order to significantly make the ratio larger, a new normalization method is proposed, which is termed the i®normalization method based on seedpoints'. In image preprocessing, for the removal of the object background,
Hongxia Wang, Kejian Yang, Feng Gao, Jun Li   +3 more
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A Method of SIFT Simplifying and Matching Algorithm Improvement

2016 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII), 2016
Scale-invariant feature transform (SIFT) is a popular pattern recognition method in 2D-image because it can abstracts the features which are invariant to rotation, scale zooming, brightness changing. So it demonstrates a certain stability to objects subjected to view point changing and noise distribution.
Xinmin Zhou, Kaiyuan Wang, Jian Fu
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