Results 41 to 50 of about 7,238,657 (296)
Unsupervised Local Feature Hashing for Image Similarity Search [PDF]
, 2016 The potential value of hashing techniques has led to it becoming one of the most active research areas in computer vision and multimedia. However, most existing hashing methods for image search and retrieval are based on global feature representations ...
Liu, Li, Shao, Ling, Yu, Mengyang
core +1 more source
MV-LFN: Multi-view based local information fusion network for 3D shape recognition
Visual Informatics, 2021 3D shape recognition is a challenging task due to the difficulty of representing the complex structure of 3D shapes. Recently, the view-based approaches that utilize the multiple views rendered from the shape for visual information extraction and feature
Jing Zhang +4 more
doaj +1 more source
Learning Local Feature Descriptors Using Convex Optimisation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014 The objective of this work is to learn descriptors suitable for the sparse feature detectors used in viewpoint invariant matching. We make a number of novel contributions towards this goal. First, it is shown that learning the pooling regions for the descriptor can be formulated as a convex optimisation problem selecting the regions using sparsity ...
Simonyan, K, Vedaldi, A, Zisserman, A
openaire +3 more sources
A Local Discrete Feature Histogram for Point Cloud Feature Representation
Applied SciencesLocal feature descriptors are a critical problem in computer vision; the majority of current approaches find it difficult to achieve a balance between descriptiveness, robustness, compactness, and efficiency.
Linjing Jia +5 more
doaj +1 more source
SGHs for 3D local surface description
IET Computer Vision, 2020 This study proposes a distinctive and robust spatial and geometric histograms (SGHs) feature descriptor for three‐dimensional (3D) local surface description.
Sheng Ao +4 more
doaj +1 more source
Feature Matching and Position Matching Between Optical and SAR With Local Deep Feature Descriptor
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Image matching between the optical and synthetic aperture radar (SAR) is one of the most fundamental problems for earth observation. In recent years, many researchers have used hand-made descriptors with their expertise to find matches between optical ...
Yun Liao +6 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan +3 more
wiley +1 more source
Learning a Local Feature Descriptor for 3D LiDAR Scans [PDF]
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018 Accepted for IROS-2018. Project details and code: http://deep3d-descriptor.informatik.uni-freiburg.de/
Ayush Dewan +2 more
openaire +4 more sources
Ewing Sarcoma in Infants and Children Under 2 Years of Age: A French Retrospective Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Ewing sarcoma, the second most common primary bone cancer in children, requires intensive treatment that may lead to significant long‐term sequelae, particularly in infants. We retrospectively analyzed data from 1621 French patients treated between 1988 and 2015 within the EW88/93/97 or EE99 trials, focusing on 17 infants diagnosed before 24 ...
Elodie Verdier +18 more
wiley +1 more source
Kernelized Multiview Projection for Robust Action Recognition [PDF]
, 2015 Conventional action recognition algorithms adopt a single type of feature or a simple concatenation of multiple features. In this paper, we propose to better fuse and embed different feature representations for action recognition using a novel spectral ...
Liu, Li +5 more
core +2 more sources