Joint Disparity Estimation and Pseudo NIR Generation From Cross Spectral Image Pairs
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DOI: 10.1109/access.2022.3140435
Abstract: Cross spectral stereo matching is a challenging task due to different spectral properties causing unreliable results in correspondence estimation. In this paper, we propose joint disparity estimation and pseudo near infrared (NIR) generation from cross… read more here.
Keywords: cross spectral; image pairs; disparity estimation; cross ... See more keywords
SyntCities: A Large Synthetic Remote Sensing Dataset for Disparity Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3223937
Abstract: Studies in the last years have proved the outstanding performance of deep learning for computer vision tasks in the remote sensing field, such as disparity estimation. However, available datasets mostly focus on close-range applications like… read more here.
Keywords: syntcities large; remote sensing; disparity; large synthetic ... See more keywords
DESA: Disparity Estimation With Surface Awareness
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3113278
Abstract: Depth map plays an important role in our daily life including automatic driving, intelligent robots, and commercial manufacture. However, existing depth estimation methods are still facing some difficulties in real-life applications. Firstly, using merely point-wise… read more here.
Keywords: estimation surface; estimation; surface awareness; disparity estimation ... See more keywords
GVLD: A Fast and Accurate GPU-Based Variational Light-Field Disparity Estimation Approach
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2020.3028258
Abstract: Disparity estimation is an essential task taking part in many light-field applications. Due to the complexity of algorithms and high dimensional property of light-field data, performing this task involves a significant computational effort and results… read more here.
Keywords: disparity estimation; field; light field; approach ... See more keywords
Disentangling Light Fields for Super-Resolution and Disparity Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3152488
Abstract: Light field (LF) cameras record both intensity and directions of light rays, and encode 3D cues into 4D LF images. Recently, many convolutional neural networks (CNNs) have been proposed for various LF image processing tasks.… read more here.
Keywords: super resolution; resolution; mechanism; resolution disparity ... See more keywords
Matching entropy based disparity estimation from light field
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DOI: 10.1364/oe.479741
Abstract: A major challenge for matching-based disparity estimation from light field data is to prevent mismatches in occlusion and smooth regions. An effective matching window satisfying three characteristics: texture richness, disparity consistency, and anti-occlusion should be… read more here.
Keywords: light field; matching entropy; disparity estimation; disparity ... See more keywords
Adaptive Superpixel-Based Disparity Estimation Algorithm Using Plane Information and Disparity Refining Mechanism in Stereo Matching
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14051005
Abstract: The motivation of this paper is to address the limitations of the conventional keypoint-based disparity estimation methods. Conventionally, disparity estimation is usually based on the local information of keypoints. However, keypoints may distribute sparsely in… read more here.
Keywords: information; superpixel based; based disparity; disparity ... See more keywords