Results 241 to 250 of about 23,131 (301)
Development and Evaluation of a Keypoint-Based Video Stabilization Pipeline for Oral Capillaroscopy. [PDF]
Sensors (Basel)Gentile V +5 more
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Research on train wheel point cloud registration algorithm based on key points by fusing Super-4PCS and ICP. [PDF]
Sci RepXiao Q +5 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 +2 more
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An improved SIFT method for pitch estimation of speech
The 2010 International Conference on Apperceiving Computing and Intelligence Analysis Proceeding, 2010 This paper presents an improved SIFT (Simplified Inverse Filtering Technique) method for accurate pith estimation. In order to save computing time as well as ensuring the precision of autocorrelation, different re-sampling ratios are utilized during the process of LPC (Linear Predictive Coding) coefficients analysis and inverse filtering respectively ...
null Wang Hong, Jin'Gui Pan
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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.
Leslie J. Francis
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TOP-SIFT: A New Method for SIFT Descriptor Selection
2015 IEEE International Conference on Multimedia Big Data, 2015The 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.
Yujie Liu 0002 +4 more
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