scholarly journals Illumination-Guided Stereo Correspondence

2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Francis Li ◽  
Alexander Wong ◽  
John Zelek
Keyword(s):  
Light Source ◽  
Point Clouds ◽  
Search Space ◽  
Block Matching ◽  
Stereo Correspondence ◽  
Matching Method ◽  
Correspondence Matching ◽  
Standard Block ◽  
External Light Source ◽  
Different Parts

<p>This work implements a method to improve correspondence matching<br />in stereo vision by using varying illumination intensities from an<br />external light source. By iteratively increasing the light intensity on<br />the scene, different parts of the scene become saturated in the left<br />and right images. These saturated areas are assumed to correspond<br />to each other, greatly reducing the search space for stereo<br />correspondence and increasing robustness to erroneous matches.<br />The stereo camera and light source used in this work is the DUO3D<br />camera by Code Laboratories. Visually, experimental results show<br />the resultant point clouds from the proposed method is less noisy<br />with fewer outliers compared to standard block matching method,<br />but produces fewer matches.</p>

scholarly journals Localization of Windows and Doors in 3d Point Clouds of Facades

2014 ◽  
Vol II-3 ◽  
pp. 87-94 ◽  
Author(s):  
W. Nguatem ◽  
M. Drauschke ◽  
H. Mayer
Keyword(s):  
Bayes Factor ◽  
Likelihood Function ◽  
Parallel Implementation ◽  
Point Clouds ◽  
Search Space ◽  
Shape Space ◽  
Data Sets ◽  
3D Point Clouds ◽  
Spline Curves ◽  
Search Routine

In this paper, we present a fully automatic approach to localize the outlines of facade objects (windows and doors) in 3D point clouds of facades. We introduce an approach to search for the main facade wall and locate the facade objects within a probabilistic framework. Our search routine is based on Monte Carlo Simulation (MC-Simulation). Templates containing control points of curves are used to approximate the possible shapes of windows and doors. These are interpolated using parametric B-spline curves. These templates are scored in a sliding window style over the entire facade using a likelihood function in a probabilistic matching procedure. This produces many competing results for which a two layered model selection based on Bayes factor is applied. A major thrust in our work is the introduction of a 2D shape-space of similar shapes under affine transform in this architectural scene. This transforms the initial parametric B-splines curves representing the outlines of objects to curves of affine similarity in a strongly reduced dimensionality thus facilitating the generation of competing hypotheses within the search space. A further computational speedup is achieved through the clustering of the search space to disjoint regions, thus enabling a parallel implementation. We obtain state-of-the results on self-acquired data sets. The robustness of our algorithm is evaluated on 3D point clouds from image matching and LiDAR data of diverse quality.

scholarly journals Template Check and Block Matching Method for Automatic Defects Detection of the Back Light Unit

2006 ◽  
Vol 13B (4) ◽  
pp. 377-382
Author(s):  
Chang-Ho Han ◽  
Sang-Hee Cho ◽  
Choon-Suk Oh ◽  
Young-Kee Ryu
Keyword(s):  
Block Matching ◽  
Matching Method

scholarly journals Architecture of solution for panoramic image blurring in GIS project application

2021 ◽  
Vol 10 (2) ◽  
pp. 287-296
Author(s):  
Dejan Vasić ◽  
Marina Davidović ◽  
Ivan Radosavljević ◽  
Đorđe Obradović
Keyword(s):  
Laser Scanning ◽  
Personal Information ◽  
Point Clouds ◽  
Search Space ◽  
Legal Framework ◽  
The European Union ◽  
Data Set ◽  
General Data Protection Regulation ◽  
Panoramic Images ◽  
Spatial Entities

Abstract. Panoramic images captured using laser scanning technologies, which principally produce point clouds, are readily applicable in colorization of point cloud, detailed visual inspection, road defect detection, spatial entities extraction, diverse map creation, etc. This paper underlines the importance of images in modern surveying technologies and different GIS projects at the same time having regard to their anonymization in accordance with law. The General Data Protection Regulation (GDPR) is a legal framework that sets guidelines for the collection and processing of personal information from individuals who live in the European Union (EU). Namely, it is a legislative requirement that faces of persons and license plates of vehicles in the collected data are blurred. The objective of this paper is to present a novel architecture of the solution for a particular object blurring. The architecture is designed as a pipeline of object detection algorithms that progressively narrows the search space until it detects the objects to be blurred. The methodology was tested on four data sets counting 5000, 10 000, 15 000 and 20 000 panoramic images. The percentage of accuracy, i.e., successfully detected and blurred objects of interest, was higher than 97 % for each data set. Additionally, our aim was to achieve efficiency and broad use.

scholarly journals Design of a Long-Pass Filter with Effects on Fluorescence Image Observation for Surgical Fluorescence Microscope Applications

Symmetry ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1571
Author(s):  
Jinkyu Kim ◽  
Kicheol Yoon ◽  
Kwanggi Kim
Keyword(s):  
Blood Vessels ◽  
Light Source ◽  
Oncological Surgery ◽  
Tumor Removal ◽  
Diagnostic Image ◽  
Pass Filter ◽  
Fluorescence Image ◽  
Surgical Microscope ◽  
External Light Source

The goal of oncological surgery is to completely remove the tumor. Tumors are often difficult to observe with the naked eye because of the presence of numerous blood vessels and the fact the colors of the tumor and blood vessels are similar. Therefore, a fluorescent contrast medium using a surgical microscope is used to observe the removal status of the tumor. To observe the tumor removal status using a fluorescent contrast agent, fluorescence is expressed in the tumor by irradiating with an external light source, and the expressed tumor can be confirmed through a surgical microscope. However, not only fluorescence-expressed tumors are observed under a surgical microscope, but images from an external light source are also mixed and observed. Therefore, since the surgical microscope is connected to a filter, the quality of the diagnostic image is not uniform, and it is difficult to achieve a clear observation. As a result, an asymmetric image quality phenomenon occurs in the diagnostic images. In this paper, a filter with high clarity that provides a symmetrical observation of diagnostic images is developed and manufactured.

A-MBED: Adaptive Markov Blanket Method for Epitasis Detection in Genome-Wide Association Studies

2014 ◽  
Vol 618 ◽  
pp. 278-282
Author(s):  
Tao Peng ◽  
Hao Wang ◽  
Yi Ran Wang ◽  
Wen Wen Xie ◽  
Jia Wei Luo
Keyword(s):  
Association Studies ◽  
Search Space ◽  
Detection Algorithm ◽  
International Hapmap Project ◽  
Genome Wide Association Studies ◽  
Weak Correlation ◽  
Matching Method ◽  
Markov Blanket ◽  
Genome Wide ◽  
Genome Wide Data

With the completion of the international HapMap project and the development of high-throughput technologies, designing more effective epistasis detection algorithm for genome-wide data poses a significant challenge. This paper proposes a new method based on the Markov blanket to solve the limitations of the existing algorithm, such as a large false-positive proportion and low accuracy. The algorithm uses G2 to judge the strength of correlation between variables of self-adaptive remove strategy and SNP matching method; to effectively eliminate variables that are unrelated to the target, as well as weak correlation between variables; to significantly reduce the search space and time; to prevent unnecessary retrieval analysis; and to improve the accuracy of the detection algorithm to a certain extent.

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