Kanji Character Detection from Complex Real Scene Images based on Character Properties

2008 ◽  
Author(s):  
Lianli Xu ◽  
Hiroto Nagayoshi ◽  
Hiroshi Sako
Keyword(s):  
Real Scene

scholarly journals A Global-Local Blur Disentangling Network for Dynamic Scene Deblurring

2021 ◽  
Vol 11 (5) ◽  
pp. 2174
Author(s):  
Xiaoguang Li ◽  
Feifan Yang ◽  
Jianglu Huang ◽  
Li Zhuo
Keyword(s):  
Local Features ◽  
Attention Mechanism ◽  
Experimental Results ◽  
Dynamic Scene ◽  
Feature Maps ◽  
Training Scheme ◽  
Real Scene ◽  
Global And Local

Images captured in a real scene usually suffer from complex non-uniform degradation, which includes both global and local blurs. It is difficult to handle the complex blur variances by a unified processing model. We propose a global-local blur disentangling network, which can effectively extract global and local blur features via two branches. A phased training scheme is designed to disentangle the global and local blur features, that is the branches are trained with task-specific datasets, respectively. A branch attention mechanism is introduced to dynamically fuse global and local features. Complex blurry images are used to train the attention module and the reconstruction module. The visualized feature maps of different branches indicated that our dual-branch network can decouple the global and local blur features efficiently. Experimental results show that the proposed dual-branch blur disentangling network can improve both the subjective and objective deblurring effects for real captured images.

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 Research on Real Scene 3D Modelling Based on Multi-view

2021 ◽  
Vol 1852 (2) ◽  
pp. 022080
Author(s):  
Rui Liu ◽  
Liwu Yao ◽  
Lei Yan ◽  
Heping Li ◽  
Xiaolong Liu ◽  
...  
Keyword(s):  
3D Modelling ◽  
Real Scene

scholarly journals High-precision 3D real scene model construction method based on air-ground data combination

2020 ◽  
Vol 570 ◽  
pp. 042022
Author(s):  
Fei Yang ◽  
Chengrong Ma ◽  
Bowen Zhang ◽  
Xuannan Chen ◽  
Li Cao ◽  
...  
Keyword(s):  
High Precision ◽  
Construction Method ◽  
Model Construction ◽  
Data Combination ◽  
Real Scene

An automatic decision algorithm and simulation performance analysis for public safety

2021 ◽  
pp. 1-12
Author(s):  
Xiangwei Qi ◽  
Weimin Pan ◽  
Bingcai Chen ◽  
Gulila Altenbek
Keyword(s):  
Emergency Response ◽  
Terrorist Attack ◽  
Scheduling Algorithm ◽  
Terrorist Attacks ◽  
Mathematical Form ◽  
Decision Algorithm ◽  
Simulation Performance ◽  
Whole Process ◽  
Real Scene ◽  
Crowd Evacuation

As the current society is increasingly facing major challenges from extremism and terrorism, protecting key urban public facilities and important targets from destruction is an important challenge facing the security departments of all countries. Based on real scene, this paper conducts researches on anti-terrorism security game algorithms and emergency response models in response to the three key links of before, during and after terrorist attacks. First of all, this paper constructs a multi-round joint attack game and emergency response model based on cooperation, establishes the optimization problem of solving the defender’s optimal strategy in mathematical form, and then obtains the optimal defense strategy. Secondly, in response to the fact that terrorists are not completely rational, a new hybrid model is constructed to propose an efficient allocation and scheduling algorithm for safe resources in response to terrorist attacks. Thirdly, a model of crowd evacuation strategy after a terrorist attack is built based on the problem of crowd evacuation in multiple rounds of premeditated cooperative attacks. Finally, taking the area of the first ring of a certain city as a real scene, a complete game system of the whole process is constructed, and the game effectiveness evaluation of the existing security resource allocation scheme in the first ring area is carried out. Through the research of this thesis, the author puts forward some new technical ideas for the current society’s anti-terrorism governance, and hopes to provide some technical references for the decision-making of security agencies.

MixAR

2019 ◽  
Vol 12 (4) ◽  
pp. 1-33 ◽  
Author(s):  
Telmo Adão ◽  
Luís Pádua ◽  
David Narciso ◽  
Joaquim João Sousa ◽  
Luís Agrellos ◽  
...  
Keyword(s):  
Environmental Conditions ◽  
Mixed Reality ◽  
The Real ◽  
Points Of Interest ◽  
Real Scene ◽  
The Future

MixAR, a full-stack system capable of providing visualization of virtual reconstructions seamlessly integrated in the real scene (e.g. upon ruins), with the possibility of being freely explored by visitors, in situ, is presented in this article. In addition to its ability to operate with several tracking approaches to be able to deal with a wide variety of environmental conditions, MixAR system also implements an extended environment feature that provides visitors with an insight on surrounding points-of-interest for visitation during mixed reality experiences (positional rough tracking). A procedural modelling tool mainstreams augmentation models production. Tests carried out with participants to ascertain comfort, satisfaction and presence/immersion based on an in-field MR experience and respective results are also presented. Ease to adapt to the experience, desire to see the system in museums and a raised curiosity and motivation contributed as positive points for evaluation. In what regards to sickness and comfort, the lowest number of complaints seems to be satisfactory. Models' illumination/re-lightning must be addressed in the future to improve the user's engagement with the experiences provided by the MixAR system.

Walking experience by real-scene optic flow with synchronized vibrations on feet

2015 ◽  
Author(s):  
Takaaki Hayashizaki ◽  
Atsuhiro Fujita ◽  
Junki Nozawa ◽  
Shohei Ueda ◽  
Koichi Hirota ◽  
...  
Keyword(s):  
Optic Flow ◽  
Real Scene

scholarly journals Separate and Simultaneous Adjustment of Light Qualities in a Real Scene

i-Perception ◽  
2017 ◽  
Vol 8 (1) ◽  
pp. 204166951668608 ◽  
Author(s):  
Ling Xia ◽  
Sylvia C. Pont ◽  
Ingrid Heynderick
Keyword(s):  
Light Intensity ◽  
Statistical Difference ◽  
Light Field ◽  
Three Dimensional ◽  
Lighting Design ◽  
Illumination Direction ◽  
3D Texture ◽  
Real Scene ◽  
Simultaneous Adjustment ◽  
Rough Sphere

Humans are able to estimate light field properties in a scene in that they have expectations of the objects’ appearance inside it. Previously, we probed such expectations in a real scene by asking whether a “probe object” fitted a real scene with regard to its lighting. But how well are observers able to interactively adjust the light properties on a “probe object” to its surrounding real scene? Image ambiguities can result in perceptual interactions between light properties. Such interactions formed a major problem for the “readability” of the illumination direction and diffuseness on a matte smooth spherical probe. We found that light direction and diffuseness judgments using a rough sphere as probe were slightly more accurate than when using a smooth sphere, due to the three-dimensional (3D) texture. We here extended the previous work by testing independent and simultaneous (i.e., the light field properties separated one by one or blended together) adjustments of light intensity, direction, and diffuseness using a rough probe. Independently inferred light intensities were close to the veridical values, and the simultaneously inferred light intensity interacted somewhat with the light direction and diffuseness. The independently inferred light directions showed no statistical difference with the simultaneously inferred directions. The light diffuseness inferences correlated with but contracted around medium veridical values. In summary, observers were able to adjust the basic light properties through both independent and simultaneous adjustments. The light intensity, direction, and diffuseness are well “readable” from our rough probe. Our method allows “tuning the light” (adjustment of its spatial distribution) in interfaces for lighting design or perception research.

A scheme for automatic text rectification in real scene images

2015 ◽  
Author(s):  
Baokang Wang ◽  
Changsong Liu ◽  
Xiaoqing Ding
Keyword(s):  
Real Scene ◽  
Automatic Text
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