Results 1 to 10 of about 48,305 (299)
Sparse Representation for Computer Vision and Pattern Recognition [PDF]
Proceedings of the IEEE, 2010 Techniques from sparse signal representation are beginning to see significant impact in computer vision, often on nontraditional applications where the goal is not just to obtain a compact high-fidelity representation of the observed signal, but also to extract semantic information.
John Wright, Yi Ma, Julien Mairal
exaly +3 more sources
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
Computer Vision and Pattern Recognition 2020 [PDF]
International Journal of Computer Vision, 2021 Zeynep Akata +2 more
exaly +3 more sources
Computer Vision and Pattern Recognition in Environmental Informatics
, 2016 Computer Vision and Pattern Recognition (CVPR) together play an important role in the processes involved in environmental informatics due to their pervasive, non-destructive, effective, and efficient natures. As a result, CVPR has made significant contributions to the field of environmental informatics by enabling multi-modal data fusion and feature ...
Zhou, Jun, Bai, Xiao, Caelli, Terry
openaire +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
Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis [PDF]
, 2023 10.1109/CVPR52688.2022.01790IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)2022-June18429 ...
Pan, P +11 more
core +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
A deep action-oriented video image classification system for text detection and recognition
SN Applied Sciences, 2021 For the video images with complex actions, achieving accurate text detection and recognition results is very challenging. This paper presents a hybrid model for classification of action-oriented video images which reduces the complexity of the problem to
Abhra Chaudhuri +6 more
doaj +1 more source