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
core +1 more source
Pulsar Candidate Sifting Using Multi-input Convolution Neural Networks [PDF]
The Astrophysical Journal, 899, 2, 2020, 2020 Pulsar candidate sifting is an essential process for discovering new pulsars. It aims to search for the most promising pulsar candidates from an all-sky survey, such as High Time Resolution Universe (HTRU), Green Bank Northern Celestial Cap (GBNCC), Five-hundred-meter Aperture Spherical radio Telescope (FAST), etc.
arxiv +1 more source
Five loaves and two fishes : an empirical study in psychological type and biblical hermeneutics among Anglican preachers [PDF]
, 2010 The sensing, intuition, feeling and thinking (SIFT) method of biblical hermeneutics and liturgical preaching has its roots in three fields: a theology of individual differences situated within the doctrine of creation, an application of Jungian ...
Francis, Leslie J.
core +3 more sources
Sifted Colimits, Strongly Finitary Monads and Continuous Algebras [PDF]
arXiv, 2023 We characterize strongly finitary monads on categories $\mathsf{Pos}$, $\mathsf{CPO}$ and $\mathsf{DCPO}$ as precisely those preserving sifted colimits. Or, equivalently, enriched finitary monads preserving reflexive coinserters. We study sifted colimits in general enriched categories.
arxiv
Selecting surface features for accurate multi-camera surface reconstruction [PDF]
, 2009 This paper proposes a novel feature detector for selecting local textures that are suitable for accurate multi-camera surface reconstruction, and in particular planar patch fitting techniques.
Bergeson +8 more
core +11 more sources
What happened to the fig tree? : an empirical study in psychological type and biblical hermeneutics [PDF]
, 2012 The SIFT method of biblical hermeneutics and liturgical preaching has its roots in Jungian psychological type theory and maintains that the reading and interpretation of text is shaped by individual preferences within the perceiving process (sensing and ...
Francis LJ +17 more
core +1 more source
IEEE Trans. on Circuits & System for Video Tech., 2023, 2023 Rain streaks bring complicated pixel intensity changes and additional gradients, greatly obstructing the extraction of image features from background. This causes serious performance degradation in feature-based applications. Thus, it is critical to remove rain streaks from a single rainy image to recover image features.
arxiv
SIFT-CCH: Increasing the SIFT distinctness by Color Co-occurrence Histograms [PDF]
2007 5th International Symposium on Image and Signal Processing and Analysis, 2007 Describing regions in a distinctive way, in order to find correct correspondences in images of two separated views, represents a complex and essential task of computer vision. Until now, SIFT (Scale Invariant Feature Transform) has been proven to be the most reliable descriptor among the others. One of the main drawbacks of SIFT is its vulnerability to
ANCUTI, Cosmin, BEKAERT, Philippe
openaire +3 more sources
Analyzing the Performance of Multilayer Neural Networks for Object Recognition [PDF]
, 2014 In the last two years, convolutional neural networks (CNNs) have achieved an impressive suite of results on standard recognition datasets and tasks.
D.E. Rumelhart +4 more
core +2 more sources
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
doaj +1 more source