Interpreting and responding to the Johannine feeding narrative : an empirical study in the SIFT hermeneutical method amongst Anglican ministry training candidates [PDF]
, 2012 Drawing on Jungian psychological type theory, the SIFT method of biblical hermeneutics and liturgical preaching maintains that different psychological type preferences are associated with distinctive readings of scripture.
Francis, Leslie J.
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Current Directions in Biomedical Engineering, 2019 Optical image processing is part of many applications used for brain surgeries. Microscope camera, or patient movement, like brain-movement through the pulse or a change in the liquor, can cause the image processing to fail.
Sieler Konstantin +2 more
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MBR-SIFT: A mirror reflected invariant feature descriptor using a binary representation for image matching. [PDF]
PLoS ONE, 2017 The traditional scale invariant feature transform (SIFT) method can extract distinctive features for image matching. However, it is extremely time-consuming in SIFT matching because of the use of the Euclidean distance measure. Recently, many binary SIFT
Mingzhe Su +4 more
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Comparison of spatial domain optimal trade-off maximum average correlation height (OT-MACH) filter with scale invariant feature transform (SIFT) using images with poor contrast and large illumination gradient [PDF]
, 2015 A spatial domain optimal trade-off Maximum Average Correlation Height (OT-MACH) filter has been previously developed and shown to have advantages over frequency domain implementations in that it can be made locally adaptive to spatial variations in the ...
Alkandri, A +5 more
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Journal of Imaging, 2022 Despite the success of hand-crafted features in computer visioning for many years, nowadays, this has been replaced by end-to-end learnable features that are extracted from deep convolutional neural networks (CNNs).
Dimitrios Tsourounis +4 more
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Automatic detection, tracking and counting of birds in marine video content [PDF]
, 2016 Robust automatic detection of moving objects in a marine context is a multi-faceted problem due to the complexity of the observed scene. The dynamic nature of the sea caused by waves, boat wakes, and weather conditions poses huge challenges for the ...
Hernandez, Francisco +3 more
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Efficient smile detection by Extreme Learning Machine [PDF]
, 2015 Smile detection is a specialized task in facial expression analysis with applications such as photo selection, user experience analysis, and patient monitoring.
An, L, Bhanu, B, Yang, S
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CGCI-SIFT: A More Efficient and Compact Representation of Local Descriptor
Measurement Science Review, 2013 This paper proposes a novel invariant local descriptor, a combination of gradient histograms with contrast intensity (CGCI), for image matching and object recognition.
Su Dongliang +4 more
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Fast, Dense Feature SDM on an iPhone
, 2016 In this paper, we present our method for enabling dense SDM to run at over 90 FPS on a mobile device. Our contributions are two-fold. Drawing inspiration from the FFT, we propose a Sparse Compositional Regression (SCR) framework, which enables a ...
Fagg, Ashton +2 more
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Journal of Innovation Information Technology and ApplicationScale-invariant feature transform (SIFT) is widely used as an image local feature extraction method because of its invariance to rotation, scale, and illumination change. SIFT has been implemented in different program libraries.
Arif Rahman +4 more
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