Results 21 to 30 of about 4,039,022 (264)
Scientific Reports, 2021 Biometric identification techniques such as photo-identification require an array of unique natural markings to identify individuals. From 1975 to present, Bigg’s killer whales have been photo-identified along the west coast of North America, resulting ...
Christian Bergler +7 more
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Trainable COSFIRE filters for keypoint detection and pattern recognition [PDF]
, 2013 Background: Keypoint detection is important for many computer vision applications. Existing methods suffer from insufficient selectivity regarding the shape properties of features and are vulnerable to contrast variations and to the presence of noise or ...
Petkov, Nicolai +2 more
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High-order circular derivative pattern for image representation and recognition
, 2010 Micropattern based image representation and recognition, e.g. Local Binary Pattern (LBP), has been proved successful over the past few years due to its advantages of illumination tolerance and computational efficiency. However, LBP only encodes the first-
Caelli, T +11 more
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SSN2V: unsupervised OCT denoising using speckle split
Scientific Reports, 2023 Denoising in optical coherence tomography (OCT) is important to compensate the low signal-to-noise ratio originating from laser speckle. In recent years learning algorithms have been established as the most powerful denoising approach.
Julia Schottenhamml +6 more
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TR-MISR: Multiimage Super-Resolution Based on Feature Fusion With Transformers
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Multiimage super-resolution (MISR), as one of the most promising directions in remote sensing, has become a needy technique in the satellite market.
Tai An +5 more
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Informative shape representations for human action recognition
, 2006 Shape and kinematics are two important cues in human movement analysis. Due to real difficulties in extracting kinematics from videos accurately, this paper proposes to address the problem of human action recognition by spatiotemporal shape analysis ...
Liang Wang +3 more
core +1 more source
Image-Dehazing Method Based on the Fusion Coding of Contours and Colors
IEEE Access, 2019 The dehazing of images shot in fog is a hot spot in the study of computer vision. Unlike dehazing methods, which use an atmospheric scattering model, the method proposed here is based on fusion coding of contours and colors.
Mingming Tan +5 more
doaj +1 more source
Towards the unification of structural and statistical pattern recognition
, 2012 Institute of Computer Science, Pattern Recognition Group (PRG)Emeriti, Faculty of ScienceInstitute of Computer ...
Bunke, Horst, Riesen, Kaspar
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Human motion recognition using gaussian processes classification
, 2008 This paper investigates the applicability of Gaussian processes (GP) classification for recognition of articulated and deformable human motions from image sequences.
Liang Wang +5 more
core +1 more source
Incremental and Adaptive Learning for Interactive Machine Translation [PDF]
, 2011 [EN] High-quality translation between any pair of languages can be achieved by human post-editing of the outputs of a MT system or by following the Interactive Machine Translation (IMT) approach. In the interactive pattern recognition framework, IMT can
Toselli, Alejandro Héctor +4 more
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