Geometrically Based Linear Iterative Clustering for Quantitative Feature Correspondence

2016 ◽  
Vol 35 (7) ◽  
pp. 1-10 ◽  
Author(s):  
Qingan Yan ◽  
Long Yang ◽  
Chao Liang ◽  
Huajun Liu ◽  
Ruimin Hu ◽  
...  
Keyword(s):  
Feature Correspondence ◽  
Quantitative Feature

scholarly journals Self-Localization of Mobile Robots Using a Single Catadioptric Camera with Line Feature Extraction

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4719
Author(s):  
Huei-Yung Lin ◽  
Yuan-Chi Chung ◽  
Ming-Liang Wang
Keyword(s):  
Mobile Robots ◽  
Ground Plane ◽  
Feature Correspondence ◽  
Projection Model ◽  
3D Space ◽  
Base Points ◽  
Real Scene ◽  
Correspondence Matching ◽  
Mobile Robot Localization ◽  
Catadioptric Camera

This paper presents a novel self-localization technique for mobile robots using a central catadioptric camera. A unified sphere model for the image projection is derived by the catadioptric camera calibration. The geometric property of the camera projection model is utilized to obtain the intersections of the vertical lines and ground plane in the scene. Different from the conventional stereo vision techniques, the feature points are projected onto a known planar surface, and the plane equation is used for depth computation. The 3D coordinates of the base points on the ground are calculated using the consecutive image frames. The derivation of motion trajectory is then carried out based on the computation of rotation and translation between the robot positions. We develop an algorithm for feature correspondence matching based on the invariability of the structure in the 3D space. The experimental results obtained using the real scene images have demonstrated the feasibility of the proposed method for mobile robot localization applications.

scholarly journals Defining the genre of Mexican business e-mail

2010 ◽  
Vol 10 (3) ◽  
pp. 569-594
Author(s):  
Therese Judge
Keyword(s):  
Rhetorical Analysis ◽  
Spanish Language ◽  
Quantitative Feature ◽  
Writing Research ◽  
Language Writing ◽  
Available Information ◽  
E Mail

Based on congruencies in the findings of Spanish-language writing research and U.S.-English e-mail writing research, this study investigates Mexican e-mails. The findings from the literature are formulated as issue statements for the purpose of confirming or denying their applicability to collected Mexican e-mails. The study employs both qualitative rhetorical analysis and a quantitative feature presence/absence analysis. Of the eight issues statements predicted to describe Mexican business e-mails per the literature, only one was affirmed-meaning that the currently available information about Mexican workplace e-mails is incorrect and/or incomplete.

EVALUATION OF KANSEI RETRIEVAL METHOD FOR QUANTITATIVE FEATURE EXTRACTION

2004 ◽  
Vol 05 (03) ◽  
pp. 313-327 ◽  
Author(s):  
Akihiro Miyakawa ◽  
Kaoru Sugita ◽  
Tomoyuki Ishida ◽  
Yoshitaka Shibata
Keyword(s):  
Feature Extraction ◽  
Image Coding ◽  
Design Pattern ◽  
Visual Features ◽  
Multimedia Database ◽  
Visual Feature ◽  
Retrieval Method ◽  
Quantitative Feature ◽  
Deviation Rate ◽  
Feature Values

In this paper, we propose a Kansei retrieval method based on the design pattern of traditional Japanese crafting object to provide a user with the desired presentation space in digital traditional Japanese crafting system. The visual quantitative feature values are extracted by using Visual Pattern Image Coding (VPIC). These values include the total number, the frequency, the dispersion rate and the deviation rate for different edges. The quantitative feature values for traditional Japanese crafting objects are registered in the multimedia database and the relation between Kansei words and the visual feature of traditional Japanese crafting objects are analyzed by using the questionnaire. Then, the visual features are compared with the quantitative feature values. Through the above process, we can find the relation between the design pattern components and edge types using VPIC. By finding this relation, the Kansei retrieval method can be realized.

scholarly journals Sketch Based Image Deformation and Editing with Guaranteed Feature Correspondence

2012 ◽  
Vol 11 (1) ◽  
pp. 25-32
Author(s):  
Yaqiong Liu ◽  
Seah Hock Soon ◽  
Ying He ◽  
Juncong Lin ◽  
Jiazhi Xia
Keyword(s):  
Unit Circle ◽  
Delaunay Triangulation ◽  
Shape Deformation ◽  
Feature Correspondence ◽  
Good Correspondence ◽  
Image Deformation ◽  
Target Shape ◽  
Feature Lines ◽  
Complex Shapes ◽  
Correspondence Mapping

The establishment of a good correspondence mapping is a key issue in planar animations such as image morphing and deformation. In this paper, we present a novel mapping framework for animation of complex shapes. We firstly let the user extract the outlines of the interested object and target interested area from the input images and specify some optional feature lines, and then we generate a sparse delaunay triangulation mesh taking the outlines and the feature lines of the source shape as constraints. Then we copy the topology from the source shape to the target shape to construct a valid triangulation in the target shape. After that, each triangle of this triangular mesh is further segmented into a dense mesh patch. Each mesh patch is parameterized onto a unit circle domain. With such parametrization, we can easily construct a correspondence mapping between the source patches and the corresponding target patches. Our framework can work well for various applications such as shape deformation and morphing. Pleasing results generated by our framework show that the framework works well.

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