Steganographic Technique Using Secure Adaptive Pixel Pair Matching for Embedding Multiple Data Types in Images

2015 ◽  
Author(s):  
T. Edwina Alias ◽  
Dominic Mathew ◽  
Abraham Thomas
Keyword(s):  
Data Types ◽  
Multiple Data ◽  
Pixel Pair ◽  
Pair Matching

Monocular Structure from Motion Based on Angular BA

2015 ◽  
Vol 742 ◽  
pp. 290-293
Author(s):  
Xiu Zhi Li ◽  
Ai Lin Yang ◽  
Huan Qiu ◽  
Song Min Jia
Keyword(s):  
Optical Flow ◽  
Structure From Motion ◽  
Structure Refinement ◽  
3D Structure ◽  
Flow Fields ◽  
Image Point ◽  
Pixel Pair ◽  
Pair Matching ◽  
Dense Correspondence

This paper presents a technique for monocular Structure from Motion (SFM) that reconstructs 3D world shape. The technique proposed uses optical flow for 2D pixel pair matching and Angular Bundle Ajustment (ABA) for 3D structure refinement. The proposed strategy has two main advantages. Firstly, optical flow fields provide sufficient dense correspondence of image point pairs and secondly, ABA outperforms classic BA variants, especially for the points relatively far from camera. The reconstruction results obtained in realistic scenario demonstrate the effectiveness and accuracy of the proposed algorithm.

scholarly journals Imaging anisotropic layering with Bayesian inversion of multiple data types

2016 ◽  
Vol 206 (1) ◽  
pp. 605-629 ◽  
Author(s):  
T. Bodin ◽  
J. Leiva ◽  
B. Romanowicz ◽  
V. Maupin ◽  
H. Yuan
Keyword(s):  
Bayesian Inversion ◽  
Data Types ◽  
Multiple Data

scholarly journals Optical analysis of complex multilayer structures using multiple data types

1994 ◽  
Author(s):  
Blaine D. Johs ◽  
Roger H. French ◽  
Franklin D. Kalk ◽  
William A. McGahan ◽  
John A. Woollam
Keyword(s):  
Multilayer Structures ◽  
Optical Analysis ◽  
Data Types ◽  
Multiple Data

An efficient authentication method for AMBTC compressed images using adaptive pixel pair matching

2017 ◽  
Vol 77 (4) ◽  
pp. 4677-4695 ◽  
Author(s):  
Wien Hong ◽  
Meijin Chen ◽  
Tung Shou Chen ◽  
Chien-Che Huang
Keyword(s):  
Compressed Images ◽  
Pixel Pair ◽  
Pair Matching

scholarly journals Assimilation of Multiple Data Types to a Regional Ionosphere Model With a 3D‐Var Algorithm (IDA4D)

Space Weather ◽  
2019 ◽  
Author(s):  
Chalachew Kindie Mengist ◽  
Nicholas Ssessanga ◽  
Se‐Heon Jeong ◽  
Jeong‐Heon Kim ◽  
Yong Ha Kim ◽  
...  
Keyword(s):  
Data Types ◽  
Ionosphere Model ◽  
Multiple Data

A comparison of benchmark task and insight evaluation methods for information visualization

2011 ◽  
Vol 10 (3) ◽  
pp. 162-181 ◽  
Author(s):  
Chris North ◽  
Purvi Saraiya ◽  
Karen Duca
Keyword(s):  
User Interfaces ◽  
Time Series Data ◽  
Evaluation Methodology ◽  
Series Data ◽  
Task Structure ◽  
Graph Visualization ◽  
Data Types ◽  
Match Task ◽  
Visual Grouping ◽  
Multiple Data

This study compares two different empirical research methods for evaluating information visualizations: the traditional benchmark-task method and the insight method. The methods are compared using criteria such as the conclusions about the visualization designs provided by each method, the time participants spent during the study, the time and effort required to analyse the resulting empirical data, and the effect of individual differences between participants on the results. The study compares three graph visualization alternatives that associate bioinformatics microarray time series data to pathway graph vertices in order to investigate the effect of different visual grouping structures in visualization designs that integrate multiple data types. It is confirmed that visual grouping should match task structure, but interactive grouping proves to be a well-rounded alternative. Overall, the results validate the insight method’s ability to confirm results of the task method, but also show advantages of the insight method to illuminate additional types of tasks. Efficiency and insight frequently correlate, but important distinctions are found. Categories: H.5.2 [Information Interfaces and Presentation]: User Interfaces – evaluation/methodology.

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