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Robust Color Guided Depth Map Restoration
IEEE Transactions on Image Processing, 2017One of the most challenging issues in color guided depth map restoration is the inconsistency between color edges in guidance color images and depth discontinuities on depth maps. This makes the restored depth map suffer from texture copy artifacts and blurring depth discontinuities.
Wei Liu +3 more
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Depth Map Restoration From Undersampled Data
IEEE Transactions on Image Processing, 2017Depth map sensed by low-cost active sensor is often limited in resolution, whereas depth information achieved from structure from motion or sparse depth scanning techniques may result in a sparse point cloud. Achieving a high-resolution (HR) depth map from a low resolution (LR) depth map or densely reconstructing a sparse non-uniformly sampled depth ...
Srimanta Mandal +2 more
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2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU), 2011
The objective of this work is to increase the range resolution of time-of-flight (ToF) cameras. Our work aims to produce a super-resolution depth map and reduce the depth error within the whole work volume using a novel multi-exposure data acquisition technique and Projection Onto Convex Sets(POCS) reconstruction.
Murat Gevrekci, Kubilay Pakin
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The objective of this work is to increase the range resolution of time-of-flight (ToF) cameras. Our work aims to produce a super-resolution depth map and reduce the depth error within the whole work volume using a novel multi-exposure data acquisition technique and Projection Onto Convex Sets(POCS) reconstruction.
Murat Gevrekci, Kubilay Pakin
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Occlusion-Aware Depth Map Coding Optimization Using Allowable Depth Map Distortions
IEEE Transactions on Image Processing, 2019In depth map coding, rate-distortion optimization for those pixels that will cause occlusion in view synthesis is a rather challenging task, since the synthesis distortion estimation is complicated by the warping competition and the occlusion order can be easily changed by the adopted optimization strategy.
Pan Gao, Aljosa Smolic
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Depth cube display using depth map
SPIE Proceedings, 2011We propose Depth Cube Display (DCD) method using depth map. The structure of the proposed method consists of two parts: A projection part composed of projector for generating image and a Twisted Nematic Liquid Crystal display (TNLCD) as polarization modulating device for adjusting the proper depth and a display part composed of air-spaced stack of ...
Jung, Jung-Hun +2 more
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Monocular Depth Estimation Using Relative Depth Maps
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019We propose a novel algorithm for monocular depth estimation using relative depth maps. First, using a convolutional neural network, we estimate relative depths between pairs of regions, as well as ordinary depths, at various scales. Second, we restore relative depth maps from selectively estimated data based on the rank-1 property of pairwise ...
Jae-Han Lee, Chang-Su Kim
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Region-based depth recovery for highly sparse depth maps
2017 IEEE International Conference on Image Processing (ICIP), 2017The accurate recovery of missing values in depth maps is an important problem in computer vision and image processing. In depth maps with large, irregular missing regions (i.e., sparse depth maps) inaccuracies arise when depth values of known pixels are used to recover depth near object edges and depth discontinuities (leakage).
Kämäräinen Joni, Pertuz Said
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Proceedings. 17th Brazilian Symposium on Computer Graphics and Image Processing, 2004
Traditional shadow maps store a single depth value per cell, leading to a binary outcome by the shadow test (either lit or in shadow), and are prone to produce aliased shadow borders. We present a new approach that produces better estimates of shadow percentages and, in combination with percentage closer filtering (PCF), reduces aliasing artifacts ...
C.A. Pagot +2 more
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Traditional shadow maps store a single depth value per cell, leading to a binary outcome by the shadow test (either lit or in shadow), and are prone to produce aliased shadow borders. We present a new approach that produces better estimates of shadow percentages and, in combination with percentage closer filtering (PCF), reduces aliasing artifacts ...
C.A. Pagot +2 more
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bams, 2013
Abstract A human observer is able to determine the color of objects independent of the light illuminating these objects. This ability is known as color constancy. In the first stages of visual information processing, data are analyzed with respect to wavelength composition, orientation, motion, and depth.
Marc Ebner, Johannes Hansen
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Abstract A human observer is able to determine the color of objects independent of the light illuminating these objects. This ability is known as color constancy. In the first stages of visual information processing, data are analyzed with respect to wavelength composition, orientation, motion, and depth.
Marc Ebner, Johannes Hansen
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