An efficient hole-filling method based on depth map in 3D view generation

2018 ◽  
Author(s):  
Haitao Liang ◽  
Xiaodong Chen ◽  
Xiu Su ◽  
Yilin Liu ◽  
Yi Wang ◽  
...  
Keyword(s):  
Depth Map ◽  
Hole Filling ◽  
Filling Method

scholarly journals Real-time RGB-D image stitching using multiple Kinects for improved field of view

2017 ◽  
Vol 14 (2) ◽  
pp. 172988141769556 ◽  
Author(s):  
Hengyu Li ◽  
Hang Liu ◽  
Ning Cao ◽  
Yan Peng ◽  
Shaorong Xie ◽  
...  
Keyword(s):  
Real Time ◽  
Anisotropic Diffusion ◽  
Color Image ◽  
Depth Map ◽  
Color Images ◽  
Field Of View ◽  
Hole Filling ◽  
Depth Data ◽  
Registration Data ◽  
Filling Method

This article concerns the problems of a defective depth map and limited field of view of Kinect-style RGB-D sensors. An anisotropic diffusion based hole-filling method is proposed to recover invalid depth data in the depth map. The field of view of the Kinect-style RGB-D sensor is extended by stitching depth and color images from several RGB-D sensors. By aligning the depth map with the color image, the registration data calculated by registering color images can be used to stitch depth and color images into a depth and color panoramic image concurrently in real time. Experiments show that the proposed stitching method can generate a RGB-D panorama with no invalid depth data and little distortion in real time and can be extended to incorporate more RGB-D sensors to construct even a 360° field of view panoramic RGB-D image.

Disocclusion-type aware hole filling method for view synthesis

2021 ◽  
Author(s):  
Xiaodong Chen ◽  
Haitao Liang ◽  
Huaiyuan Xu ◽  
Siyu Ren ◽  
Huaiyu Cai ◽  
...  
Keyword(s):  
View Synthesis ◽  
Hole Filling ◽  
Filling Method

An Improved Olympic Hole-Filling Method for Ultrasound Volume Reconstruction of Human Spine

2012 ◽  
pp. 259-271 ◽  
Author(s):  
D. E. O. Dewi ◽  
T. L. R. Mengko ◽  
I. K. E. Purnama ◽  
A. G. Veldhuizen ◽  
M. H. F. Wilkinson
Keyword(s):  
Three Dimensional ◽  
3D Ultrasound ◽  
Hole Filling ◽  
Filling Process ◽  
Volume Reconstruction ◽  
Acquisition Process ◽  
Human Spine ◽  
Filling Method ◽  
Averaging Filter

Hole-filling in ultrasound volume reconstruction using freehand three-dimensional ultrasound estimates the values for empty voxels from the unallocated voxels in the Bin-filling process due to inadequate sampling in the acquisition process. Olympic operator, as a neighbourhood averaging filter, can be used to estimate the empty voxel. However, this method needs improvement to generate a closer estimation of the empty voxels. In this paper, the authors propose an improved Olympic operator for the Hole-filling algorithm, and apply it to generate the volume in a 3D ultrasound reconstruction of the spine. The conventional Olympic operator defines the empty voxels by sorting the neighbouring voxels, removing the n% of the upper and lower values, and averaging them to attain the value to fill the empty voxels. The empty voxel estimation can be improved by thresholding the range width of its neighbouring voxels and adjusting it to the average values. The method is tested on a hole-manipulated volume derived from a cropped 3D ultrasound volume of a part of the spine. The MAE calculation on the proposed technique shows improved result compared to all tested existing methods.

An Improved Olympic Hole-Filling Method for Ultrasound Volume Reconstruction of Human Spine

2010 ◽  
Vol 1 (3) ◽  
pp. 28-40 ◽  
Author(s):  
D. E. O. Dewi ◽  
T. L. R. Mengko ◽  
I. K. E. Purnama ◽  
A. G. Veldhuizen ◽  
M. H. F. Wilkinson
Keyword(s):  
Three Dimensional ◽  
3D Ultrasound ◽  
Hole Filling ◽  
Filling Process ◽  
Volume Reconstruction ◽  
Acquisition Process ◽  
Human Spine ◽  
Filling Method ◽  
Averaging Filter

Hole-filling in ultrasound volume reconstruction using freehand three-dimensional ultrasound estimates the values for empty voxels from the unallocated voxels in the Bin-filling process due to inadequate sampling in the acquisition process. Olympic operator, as a neighbourhood averaging filter, can be used to estimate the empty voxel. However, this method needs improvement to generate a closer estimation of the empty voxels. In this paper, the authors propose an improved Olympic operator for the Hole-filling algorithm, and apply it to generate the volume in a 3D ultrasound reconstruction of the spine. The conventional Olympic operator defines the empty voxels by sorting the neighbouring voxels, removing the n% of the upper and lower values, and averaging them to attain the value to fill the empty voxels. The empty voxel estimation can be improved by thresholding the range width of its neighbouring voxels and adjusting it to the average values. The method is tested on a hole-manipulated volume derived from a cropped 3D ultrasound volume of a part of the spine. The MAE calculation on the proposed technique shows improved result compared to all tested existing methods.

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