Computer Vision and Pattern Recognition for the Analysis of 2D/3D Remote Sensing Data in Geoscience: A Survey [PDF]
Remote Sensing, 2022 Historically, geoscience has been a prominent domain for applications of computer vision and pattern recognition. The numerous challenges associated with geoscience-related imaging data, which include poor imaging quality, noise, missing values, lack of ...
Michalis A. Savelonas +2 more
doaj +3 more sources
A feasibility cachaca type recognition using computer vision and pattern recognition [PDF]
Computers and Electronics in Agriculture, 2016 Brazilian rum (also known as cachaça) is the third most commonly consumed distilled alcoholic drink in the world, with approximately 2.5 billion liters produced each year.
Bruno Urbano Rodrigues +13 more
core +5 more sources
Computer Analysis of Architecture Using Automatic Image Understanding [PDF]
Journal of Data Mining and Digital Humanities, 2019 In the past few years, computer vision and pattern recognition systems have been becoming increasingly more powerful, expanding the range of automatic tasks enabled by machine vision.
Fan Wei, Yuan Li, Lior Shamir
doaj +5 more sources
Cancer Classification Using Pattern Recognition and Computer Vision Techniques [PDF]
ITM Web of ConferencesThe rapid advancement of DNA microarray technology has significantly contributed to the classification of various cancers, particularly leukemia. However, the high-dimensional nature of gene expression data presents challenges such as data noise and ...
Haddou Bouazza Sara +1 more
doaj +2 more sources
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges [PDF]
, 2022 This paper describes the third Affective Behavior Analysis in-the-wild (ABAW) Competition, held in conjunction with IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) +1 more
core +3 more sources
Deep Spatial-Temporal Neural Network for Dense Non-Rigid Structure from Motion
Mathematics, 2022 Dense non-rigid structure from motion (NRSfM) has long been a challenge in computer vision because of the vast number of feature points. As neural networks develop rapidly, a novel solution is emerging.
Yaming Wang +4 more
doaj +1 more source
A Convolutional Neural Network for Nonrigid Structure from Motion
International Journal of Digital Multimedia Broadcasting, 2022 In this study, we propose a reconstruction and optimization neural network (RONN), a novel neural network for nonrigid structure from motion, which is completed by an unsupervised convolution neural network.
Yaming Wang +3 more
doaj +1 more source
Two-Stage Fusion-Based Audiovisual Remote Sensing Scene Classification
Applied Sciences, 2023 Scene classification in remote sensing is a pivotal research area, traditionally relying on visual information from aerial images for labeling. The introduction of ground environment audio as a novel geospatial data source adds valuable information for ...
Yaming Wang +4 more
doaj +1 more source
Multibody Nonrigid Structure from Motion Segmentation Based on Sparse Subspace Clustering
International Journal of Digital Multimedia Broadcasting, 2021 Sparse subspace clustering (SSC) is one of the latest methods of dividing data points into subspace joints, which has a strong theoretical guarantee. However, affine matrix learning is not very effective for segmenting multibody nonrigid structure from ...
Wenqing Huang +3 more
doaj +1 more source