Articles with "local descriptors" as a keyword



Face retrieval using frequency decoded local descriptor

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Published in 2018 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-018-7028-8

Abstract: The local descriptors have been the backbone of most of the computer vision problems. Most of the existing local descriptors are generated over the raw input images. In order to increase the discriminative power of… read more here.

Keywords: descriptor; frequency; frequency decoded; local descriptors ... See more keywords
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Understanding and Improving Kernel Local Descriptors

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Published in 2018 at "International Journal of Computer Vision"

DOI: 10.1007/s11263-018-1137-8

Abstract: We propose a multiple-kernel local-patch descriptor based on efficient match kernels from pixel gradients. It combines two parametrizations of gradient position and direction, each parametrization provides robustness to a different type of patch mis-registration: polar… read more here.

Keywords: descriptor; improving kernel; patch; local descriptors ... See more keywords

Testing lexical equivalences for wine flavours in emerging markets: Do hawthorns taste like blackberries?

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Published in 2017 at "Food Quality and Preference"

DOI: 10.1016/j.foodqual.2017.03.011

Abstract: One of the issues facing any food or beverage export sector is describing the sensory characteristics of products using local, meaningful terminology. This task is further complicated when the food or beverage is relatively new… read more here.

Keywords: main experiment; lexical equivalences; non local; local descriptors ... See more keywords

Augment color discrimination of local descriptors

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Published in 2017 at "Optik"

DOI: 10.1016/j.ijleo.2017.04.083

Abstract: Abstract Scale invariance and color invariance are two critical characters of robust local descriptors. For scale invariance, most of local descriptors are constructed based on scale pyramid only, while lack of considering the resolution influence.… read more here.

Keywords: resolution; color; invariance; discrimination local ... See more keywords

Learning local descriptors with multi-level feature aggregation and spatial context pyramid

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Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2021.07.030

Abstract: Abstract Despite that efforts have shifted to learning local descriptors with convolutional neural network (CNN) from hand-crafted realm, the inherent feature hierarchy within CNN has been rarely explored. To increase both the invariant and discriminative… read more here.

Keywords: local descriptors; feature; learning local; level feature ... See more keywords

Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors

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Published in 2018 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2018.2790962

Abstract: Attenuation correction for positron-emission tomography (PET)/magnetic resonance (MR) hybrid imaging systems and dose planning for MR-based radiation therapy remain challenging due to insufficient high-energy photon attenuation information. We present a novel approach that uses the… read more here.

Keywords: nonlinear local; learned nonlinear; local descriptors; feature matching ... See more keywords

You Only Train Once: Learning General and Distinctive 3D Local Descriptors

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Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2022.3180341

Abstract: Extracting distinctive, robust, and general 3D local features is essential to downstream tasks such as point cloud registration. However, existing methods either rely on noise-sensitive handcrafted features, or depend on rotation-variant neural architectures. It remains… read more here.

Keywords: local descriptors; train learning; general distinctive; rotation ... See more keywords

Attention Weighted Local Descriptors.

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Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"

DOI: 10.1109/tpami.2023.3266728

Abstract: Local features detection and description are widely used in many vision applications with high industrial and commercial demands. With large-scale applications, these tasks raise high expectations for both the accuracy and speed of local features.… read more here.

Keywords: accuracy speed; local descriptors; features detection; local features ... See more keywords
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Intelligent System for Parasitized Malaria Infection Detection Using Local Descriptors

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Published in 2021 at "International Journal of Intelligent Engineering and Systems"

DOI: 10.22266/ijies2021.0228.28

Abstract: Malaria is a curative disease, with therapeutics available for patients, such as drugs that can prevent future malaria infections in countries vulnerable to malaria. Though, there is no effective malaria vaccine until now, although it… read more here.

Keywords: infection detection; detection; local descriptors; malaria infection ... See more keywords

In defense of local descriptor-based few-shot object detection

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Published in 2024 at "Frontiers in Neuroscience"

DOI: 10.3389/fnins.2024.1349204

Abstract: State-of-the-art image object detection computational models require an intensive parameter fine-tuning stage (using deep convolution network, etc). with tens or hundreds of training examples. In contrast, human intelligence can robustly learn a new concept from… read more here.

Keywords: detection; object detection; defense local; shot object ... See more keywords