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Artificial Vision and Augmented Reality Applied to the analysis of sports broadcast videos 2

Artificial Vision and Augmented Reality Applied to the analy...

引用

World Symposium on Web Applications and Networking (WSWAN)

作者： Maalej, Lotfi Mlouhi, Yosr Jabri, Imed Battikh, Tahar Ecole Natl Super Ingn Tunis Tunis Tunisia

ISBN: (纸本)9781479981724

Tracking players and identifying them from video sequences of sport events, taken from a unique Pan-Tilt-Zoom (PTZ) camera, are exploited and experimented in various applications. However, this challenge is still difficult to realize and presents a vast field to investigate. In this paper, we suggest an automatic system that tackles this quiet complex problematic. The system has the ability to detect and follow multiple actors, estimate the homography between successive images of a video sequence and the play-ground and identifying the actors in the scene. The homographic estimation is solved by using a variant of icp algorithm (Iterative Closest Point). The results of these applied artificial vision operations in the field of sport analysis open tremendous possibilities of applications and of mixed and increased reality in the benefit of sport events broadcasted on television.

关键词： Multi-target tracking PTZ Camera Homography icp algorithm Increased reality Smart System

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Modified Approach for Recognition of 3-D Faces with Missing Parts 5

Modified Approach for Recognition of 3-D Faces with Missing ...

引用

5th IEEE International Conference on Computational Intelligence and Computing Research (IEEE ICCIC)

作者： Pawar, Asmita A. Patil, Nitin N. North Maharashtra Univ Dept Comp Engn SESs RC Patel Inst Technol Shirpur MS India

ISBN: (纸本)9781479939756

This paper presents an implementation of face recognition, which is a very important task of identifying human faces. Representation of a face image is dealing with keypoints clustering and curve matching approach. In our work we implement the methods for recognition of a 3-D face image with missing and occluded part. The solutions for this problem is found out with the help of SIFT and RANSAC algorithms and the keypoints measurements and feature matching this are the actual flow of implementation. A partial representation of a face image is totally related to 3-D applications. Features of a frontal images and left/right images will be considered. Surface matching is that form of a recognition that with the help of this just calculating the keypoints. A canonical representation of the face is that which exploits the isometry invariance of the face surface to manage missing data obtained by randomly removing areas from frontal face scans. Both shape and surface reactance properties are calculated locally through minimization of the image differences between the original images and their estimations. Stochastic computational methods and integrability enforcement are employed to handle the nonlinearity and inconsistency issues in the shape and reactance parameter optimization processes to achieve valid results.

关键词： 3D Images Missing parts icp algorithm Face mask RANSAC SIFT

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A 3D Point Cloud Reconstruction Method 9

A 3D Point Cloud Reconstruction Method

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9th IEEE Annual International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER)

作者： Zhang, Yang Jia, Tong Chen, Yanqi Tan, Zexun Northeastern Univ Shenyang Peoples R China

ISBN: (纸本)9781728107707

In order to quickly obtain a precise point cloud model of the target, this paper proposes a 3D point cloud reconstruction method. First, a point cloud acquisition system, which consists of Kinect, turntable, green background frame, and computer, is constructed to acquire the point cloud model of the target at 16 shooting angles. After that, when the coordinate system conversion is finished, the original point cloud model are processed by both a pass-through filter and a yowl filter: the green background and other obstacles in the original point cloud model are removed by the straight through filter;and cloud models are further simplified by the voxel filter in order to alleviate the computer's computational pressure, improve the registration speed, and reduce the interference of noise on the registration process. At this point, the number of point clouds is simplified to an acceptable level and the basic features of the target point cloud model are not missing. Finally, this paper proposes a improved icp algorithm with curvature as the feature descriptor and the KD-Tree as the search mechanism to register the processed point cloud models. In this improved method, the curvature can be calculated relatively simply and not susceptible to noise interference, as well as, the KD-Tree can solve the problem of the inefficiency of the classical icp algorithm search mechanism and boost the search speed. And, a layer-by-layer registration strategy is adopted in the register to reduce the cumulative error. Several experiments have been carried out on several targets in this paper using the above method, and satisfactory experimental results are obtained.

关键词： 3D Reconstruction Point Cloud Straight-through Filter Voxel Filter icp algorithm KD-Tree

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Performance Evaluation of Vehicle-Based POS by Hybrid Use of Total Station and Laser Tracker System 7th

Performance Evaluation of Vehicle-Based POS by Hybrid Use of...

引用

7th China Satellite Navigation Conference (CSNC)

作者： Zhou, Yanglin Li, Guangyun Zhou, Shuaifeng Fu, Jingyang Li, Fengyang Informat Engn Univ Sch Nav & Aerosp Engn Zhengzhou Peoples R China 61206 Troops Beijing Beijing Peoples R China

ISBN: (纸本)9789811009372;9789811009365

Position and Orientation System (POS) is one of the most important parts of mobile mapping system, whose position and orientation accuracy has raised lots of attention. Many researches have been carried on improving the accuracy of POS, but less have been carried on testing the accuracy of POS, whose tests depend greatly on manufacturer and lack public and systematic method. According to this situation this paper analyzes the calibration techniques for testing the dynamic position accuracy of POS. The methods of counting the time of single measurement and curve fitting have been used for eliminating gross error from the raw observation data. The algorithm of icp (Iterative Closest Point) is used for modifying the trajectory of total station system, which is realized by the comparison between high-accuracy trajectory of laser tracking system and that of total station system, to enhance the accuracy of dynamic surveying. Overall trajectory comparison and real-time comparison are used for testing the dynamic position accuracy of POS. Outdoor experiments have been carried out to verify the feasibility that this calibration method can be used for testing the dynamic position accuracy of POS.

关键词： POS Dynamic accuracy inspection icp algorithm Track correction Error analysis

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Water Hazard Detection Based on 3D LIDAR 3

Water Hazard Detection Based on 3D LIDAR

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3rd Asian Pacific Conference on Mechanical Components and Control Engineering (ICMCCE)

作者： Hou, Shuai Zhang, Liang Beijing Inst Technol Sch Mechatron Engn Beijing 100081 Peoples R China

ISBN: (纸本)9783038353126

Autonomous off-road navigation is a highly complicated task for a robot or unmanned ground vehicle (UGV) owing to the different kinds of obstacles it could encounter. In-particular, water hazards such as puddles and ponds are very common in outdoor environments and are hard to detect even with ranging devices due to the specular nature of reflection at the air water interface. In recent years, many researches to detect the water bodies have been done. But there still has been very little work on detecting bodies of water that could be navigation hazards, especially at night. In this paper, we used Velodyne HDL-64ES2 3D LIDAR to detect water hazard. The approach first analyzes the data format and transformation of 3D LIDAR, and then writes the data acquisition and visualizations algorithm, integrated data based on icp algorithm. Finally according the intensity distribution identifies the water hazard. Experiments are carried out on the experimental car in campus, and results show the promising performance.

关键词： unmanned ground vehicle (UGV) 3D LIDAR icp algorithm water hazard detection

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Error analysis of two methods for range-images registration

Error analysis of two methods for range-images registration

引用

Conference on Mathematics of Data/Image Coding, Compression, and Encryption with Applications XII

作者： Liu, Xiaoli Yin, Yongkai Li, Ameng He, Dong Peng, Xiang Shenzhen Univ Minist Educ & Guangdong Prov Key Lab Optoelect Devices & Syst Coll Optoelect Engn Shenzhen 518060 Peoples R China Tianjin Univ Coll Precis Instrument & Opto Elect Engn Stste Key Lab Precis Measurement Technol & Instru Tianjin 300072 Peoples R China

ISBN: (纸本)9780819482952

With the improvements in range image registration techniques, this paper focuses on error analysis of two registration methods being generally applied in industry metrology including the algorithm comparison, matching error, computing complexity and different application areas. One method is iterative closest points, by which beautiful matching results with little error can be achieved. However some limitations influence its application in automatic and fast metrology. The other method is based on landmarks. We also present a algorithm for registering multiple range-images with non-coding landmarks, including the landmarks' auto-identification and sub-pixel location, 3D rigid motion, point pattern matching, global iterative optimization techniques et al. The registering results by the two methods are illustrated and a thorough error analysis is performed.

关键词： registration range-images icp algorithm landmark

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Application of Iterative Closest Point algorithm in Automatic Flight of Speedy UAV 6

Application of Iterative Closest Point Algorithm in Automati...

引用

IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)

作者： Gu Tianyuan Zhang Ning AVIC Xian Flight Automat Control Res Inst Sci & Technol Aircraft Control Lab Xian 710065 Peoples R China

ISBN: (纸本)9781479946990

In order to realize the autonomous location and attitude estimation for speedy UAV, this paper designs an improved Iterative Closest Points (icp) algorithm for fixed-wing UAV with a laser range finder mounted onboard. This improved icp adopts a K-d tree and AK-d tree mixed closest point searching strategy to enhance its rapidity, and an automatic trim approach to drop out outlier points to improve its reliability. In order to check the feasibility of the proposed algorithm, flight experiment is conducted. Experiment result demonstrates the good performance of the algorithm.

关键词： attitude control autonomous aerial vehicles iterative methods position control trees (mathematics) AK-d tree icp algorithm K-d tree attitude estimation automatic UAV flight automatic trim approach closest point searching strategy fixed-wing UAV iterative closest point algorithm laser range finder location estimation speedy UAV unmanned aerial vehicle algorithm design and analysis Estimation Iterative closest point algorithm Laser radar Reliability Sensors Standards Iterative closest point algorithm laser range finders algorithm design and analysis Lidar Unmanned Aerial Vehicle drone honey bees position estimation attitude control Position control iterative methods fixed wings Sensors

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3D Shape Measurement with Defect Detection 13

3D Shape Measurement with Defect Detection

引用

13th International Conference on Quality Control by Artificial Vision

作者： Ukida, Hiroyuki Tokushima Univ 2-1 Minamijosanjima Cho Tokushima Japan

ISBN: (数字)9781510611221

ISBN: (纸本)9781510611214;9781510611221

In this study, we discuss a method to reconstruct a whole shape of an object for the digital archive. Here, we propose an integration method of partial object shapes measured from different viewpoints. The shape data after the integration are often incomplete because which includes defects such as holes or chips. To solve this problem, we also propose a method to detect defects. From the experiment results, we can show the effectiveness of our proposed methods for measuring the 3D shape of an object.

关键词： 3D shape measurement whole shape of object digital archives 3D scanner defects icp algorithm

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A Deep Study to Reuse of Processing Instructions in Automatic Programming Techniques 13

A Deep Study to Reuse of Processing Instructions in Automati...

引用

IEEE International Conference on Mechatronics and Automation

作者： Cao, Xuewei Yuan, Kui Xu, Qiaoyu Chinese Acad Sci Inst Automat 95 Zhongguancun East Rd Beijing Peoples R China Air Force Gen Hosp Dept Dermatol 30 Fuchengmen Rd Beijing Peoples R China

ISBN: (纸本)9781509023967

In this paper, based on model simplification, man-machined interactive, RANSAC[1], AABB bounding box[2] and improved icp algorithm[3], we propose a new method, which can determine the position and orientation deviation between the processing object and the same processed one rapidly. By the aid of the calculated rotation matrix, we can reuse the old processing instructions by a simple matrix transformation, which upgrades the efficiency of automatic programming greatly. Experiment and result have demonstrated the validity of the proposed method.

关键词： man-machined interactive RANSAC AABB bounding box icp algorithm processing instructions automatic programming

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Registration and Integration of Automobile-Bodies Scattered Point Cloud Based on K-D Tree

Registration and Integration of Automobile-Bodies Scattered ...

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2nd International Conference on Manufacturing Science and Engineering

作者： Zhou, Yu Zhang, Wanbing Du, Farong Beihang Univ Sch Transportat Sci & Engn Beijing 100191 Peoples R China Faw Gm Hongta Yunnan Automobile Co Ltd Qujing 655000 Peoples R China

ISBN: (纸本)9783037850398

As the automobile-bodies point cloud had the traits of large geometric dimension, huge data and rigor reverse precision, the improved iterative closet point algorithm (icp) is put forward. The searching structure is generated using k-D tree. The closet points are searched by k-Dimensional sphere. The mapped relationship between points is generated. The matched points are filtered by the principle of geometric similarity. The solving of icp algorithm is speeded and the registration precision of icp algorithm is improved. The registration algorithm based on least-square and quaternion is used to calculate accurate registration result. The algorithm has certain theoretical and practical significance for improving of the efficiency and precision of registration. The reliability and accuracy of the algorithm are proved by experimentation.

关键词： K-D Tree icp algorithm Point Cloud Registration and Integration Congruence Triangle

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