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Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution
IEEE Transactions on Image Processing, 2019Rapid development of affordable and portable consumer depth cameras facilitates the use of depth information in many computer vision tasks such as intelligent vehicles and 3D reconstruction.
Chunle Guo, Chongyi Li, Jichang Guo
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Depth Map Estimation Using Defocus and Motion Cues
IEEE Transactions on Circuits and Systems for Video Technology, 2019Significant recent developments in 3D display technology have focused on techniques for converting 2D media into 3D. Depth map is an integral part of 2D-to-3D conversion.
Himanshu Kumar +2 more
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Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution
IEEE International Conference on Computer Vision, 2023Guided depth map super-resolution (GDSR), as a hot topic in multi-modal image processing, aims to upsample low-resolution (LR) depth maps with additional information involved in high-resolution (HR) RGB images from the same scene.
Zixiang Zhao +7 more
semanticscholar +1 more source
Dense Depth-Map Estimation Based on Fusion of Event Camera and Sparse LiDAR
IEEE Transactions on Instrumentation and Measurement, 2022Depth-map estimation reflects the geometry of the visible surface in the environment directly and plays an important role in perception and decision for intelligent robots.
Mingyue Cui +5 more
semanticscholar +1 more source
Depth map guided triplet network for deepfake face detection
Neural Networks, 2022The widespread dissemination of facial forgery technology has brought many ethical issues and aroused widespread concern in society. Most research today treats deepfake detection as a fine grained classification task, which however makes it difficult to ...
Buyun Liang +5 more
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Edge-Preserving Depth Map Upsampling by Joint Trilateral Filter
IEEE Transactions on Cybernetics, 2018Yu-Chiang Frank Wang, Kai-Lung Hua
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Depth Map Recovery Based on a Unified Depth Boundary Distortion Model
IEEE Transactions on Image Processing, 2022Depth maps acquired by either physical sensors or learning methods are often seriously distorted due to boundary distortion problems, including missing, fake, and misaligned boundaries (compared with RGB images).
Haotian Wang +4 more
semanticscholar +1 more source
Joint-Feature Guided Depth Map Super-Resolution With Face Priors
IEEE Transactions on Cybernetics, 2018Jiaying Liu +2 more
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Depth Map Super-Resolution Considering View Synthesis Quality
IEEE Transactions on Image Processing, 2017Jianjun Lei, Huanjing Yue, Nam Ling
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2010 IEEE International Conference on Image Processing, 2010
Depth maps are becoming a readily available commodity of the stereo pipeline. We propose to make use of this new free information to improve a key step of postproduction that is matting. We extend the work of Levin et al on closed form matting to introduce two new depth-aware techniques. First we explore how depth can be used as an extra channel in the
François Pitié, Anil C. Kokaram
openaire +1 more source
Depth maps are becoming a readily available commodity of the stereo pipeline. We propose to make use of this new free information to improve a key step of postproduction that is matting. We extend the work of Levin et al on closed form matting to introduce two new depth-aware techniques. First we explore how depth can be used as an extra channel in the
François Pitié, Anil C. Kokaram
openaire +1 more source