Results 51 to 60 of about 1,701,201 (300)
A New Parallel Intelligence Based Light Field Dataset for Depth Refinement and Scene Flow Estimation
Sensors, 2022 Computer vision tasks, such as motion estimation, depth estimation, object detection, etc., are better suited to light field images with more structural information than traditional 2D monocular images.
Yu Shen +4 more
doaj +1 more source
Geo-spatial Information ScienceThis research work proposes a novel cost calculation method that considers shadow occlusion areas to address the issues of poor disparity estimation in urban areas, termed Matching Cost based on Shadow Properties (MCSP), error estimation of the shadow ...
Hongjun Sha +4 more
doaj +1 more source
Remote SensingDisparity estimation in high-resolution satellite stereo images is a critical task in remote sensing and photogrammetry. However, significant challenges arise due to the complexity of satellite stereo image scenes and the dynamic variations in ...
Qian Zhang +3 more
doaj +1 more source
Variational disparity estimation framework for plenoptic images [PDF]
2017 IEEE International Conference on Multimedia and Expo (ICME), 2017 This paper presents a computational framework for accurately estimating the disparity map of plenoptic images. The proposed framework is based on the variational principle and provides intrinsic sub-pixel precision. The light-field motion tensor introduced in the framework allows us to combine advanced robust data terms as well as provides explicit ...
Trung-Hieu Tran +2 more
openaire +3 more sources
IEEE AccessImage super-resolution (SR) and disparity estimation are closely related in stereo images, and exploiting the features within disparity maps effectively enhances the performance of SR.
Wanjun Wang, Chunyan Ma
doaj +1 more source
Learning for Disparity Estimation Through Feature Constancy [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Accepted by CVPR 2018, 10 pages, 3 ...
Zhengfa Liang +7 more
openaire +2 more sources
Uncertainty Guided Iterative Optimization Dense Matching Network for Occlusion Aerial Stereo Imagery
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingTo address the challenge of local disparity estimation errors caused by large occlusions in aerial stereo imagery, an uncertainty guided iterative optimization network is proposed for dense matching. The network begins with a multi-scale cost aggregation-
Ying Luo +4 more
doaj +1 more source
Dense disparity estimation from linear measurements [PDF]
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011 This paper proposes a methodology to estimate the correlation model between a pair of images that are given under the form of linear measurements. We consider an image pair whose common objects are relatively displaced due to the positioning of vision sensors.
Thirumalai Vijayaraghavan +1 more
openaire +3 more sources
Molecular Oncology, EarlyView.Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller +10 more
wiley +1 more source
Photo-consistency and multiresolution methods for light field disparity estimation [PDF]
, 2005 Light fields can be used to generate photorealistic renderings of a scene from novel viewpoints without need for a model of the scene. Reconstruction of a novel view, however, often leads to ghosting artefacts, which can be relieved by correcting for the
Mullins, Andrew +3 more
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