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检索条件"任意字段=International Conference on Computer Vision and Image Processing, CVIP 2016"

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Tutorials

引用

international conference on 3D Imaging, Modeling, processing, Visualization and Transmission (3DIMPVT)

作者： Xiaowei Zhou Yu Xiang Kostas Daniilidis

These tutorials discuss the following: 3D object geometry from single image; large-scale 3D modeling from crowdsourced data; semantic and structured 3D modeling; and understanding 3D and visuo-motor learning.

关键词： Three-dimensional displays Tutorials Solid modeling image reconstruction Semantics computer vision Internet

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A FEATURE FUSION STRATEGY FOR PERSON RE-IDENTIFICATION

A FEATURE FUSION STRATEGY FOR PERSON RE-IDENTIFICATION

引用

IEEE international conference on image processing

作者： Mu Gao Haizhou Ai Bo Bai Department of Computer Science and Technology Tsinghua University Huawei Technologies

ISBN: (纸本)9781467399623

The problem of person re-identification, identifying the same person appeared in different camera views, is an important and challenging task in computer vision that has high potential application in areas like visual surveillance. In this paper we introduce a new feature fusion strategy for person re-identification that combines low-level Weighted Histograms of Overlapping Stripes (WHOS) features with mid-level color name descriptors and we adopt KISSME algorithm for person matching. Experiments on several public person re-identification datasets (VIPeR, i-LIDS and CAVIAR4REID) demonstrate that our approach achieves much better results compared with other state-of-the-art approaches.

关键词： Person re-identification Feature fusion Metric learning Persons images computer vision Fusion reactions Fusion, biological FUSION fusion (melting) Visual surveillance high potential

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Low-latency image processing for vision-based navigation systems

Low-latency image processing for vision-based navigation sys...

引用

IEEE international conference on Robotics and Automation (ICRA)

作者： Petr Čížek Jan Faigl Diar Masri Dept. of Computer Science Czech Technical University in Prague Czech Republic

This paper concerns a problem of the latency reduction in the vision-based mobile robot navigation, which is considered as the crucial system property to determine a control command based on visual data in practical deployments of mobile robots. The problem is addressed by a processor centric FPGA-based System-on-Chip design allowing power and computationally efficient on-line image processing. The proposed architecture is considered in an autonomous vision-based navigation with a teach-and-repeat algorithm based on detection and tracking of image salient points. The architecture has been evaluated and compared with a CPU-based solution on different platforms and the results indicate that the proposed FPGA-based implementation outperforms pure CPU solutions in the overall latency, speed, and power consumption.

关键词： Feature extraction Navigation Field programmable gate arrays Cameras computer architecture Pipelines

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Support and monitoring trajectory paths for vehicles using mobile devices

Support and monitoring trajectory paths for vehicles using m...

引用

international conference on Electronics, Communications and computers

作者： Jenny A. Ojeda-Andablo Javier Paz-Trejo Blanca E. Carvajal-Gamez Jorge Ferrer-Tenorio Instituto Politecnico Nacional Escuela Superior de Computo

ISBN: (纸本)9781509000807

Currently artificial intelligence combined with computer vision has helped in performing daily activities, the current tendency of semi-autonomous vehicles assisted by artificial intelligence and computer vision has created a new field of image processing research. The image processing to support autonomous route tracking systems they have been tested in controlled media. In this investigation we perform the implementation of a system of guide and trajectory tracking in real scenarios (not controlled media) as road and city streets. Propose a new method for detecting lines as the Hough transform, in a simple and efficient for the detection of lane on a mobile manner. With the above determined whether or not the vehicle conserves his lane by opening angles of triangles detected with the mobile camera, to support and assist the driver. The methodology is tested to determine its performance qualitatively and quantitatively.

关键词： Autonomous vehicles Tracking lines Hough transform Artificial intelligence computer vision

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Investigation and performance analysis of OpenVX optimizations on computer vision applications

Investigation and performance analysis of OpenVX optimizatio...

引用

international conference on Control, Automation, Robotics and vision

作者： Djamila Dekkiche Bastien Vincke Alain Merigot SATIE Univ. Paris-Sud CNRS Universite Paris-Saclay 94235 Cachan France IRT SystemX 91120 Palaiseau France SATIE Univ. Paris-Sud CNRS Universite Paris-Saclay 94235 Cachan France

ISBN: (纸本)9781509035502

The development of Advanced Driver Assistance Systems (ADAS), such as pedestrian detection, requires real-time update rates at high image resolution. Hopefully, heterogeneous architectures with high computing performance have been developed for this purpose. To benefit from this hardware performance, different programming languages and acceleration frameworks have been developed. OpenVX framework provides a graph-based execution model to program image processing algorithms on heterogeneous platforms. In this work, we investigate OpenVX optimizations for computer vision applications. We examine how this framework responds to different data access patterns. We test three important optimizations of OpenVX: kernels merge, data tiling and parallelization via OpenMP. The contribution and the impact of each optimization on different data access pattern are explained.

关键词： images computer vision advanced driver assistance systems (ADAS) computational performance image processing algorithm Frameworks Access to Information information retrieval parallelization

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Positioning of a robot based on binocular vision for hand / foot fusion

Positioning of a robot based on binocular vision for hand / ...

引用

2016 2nd international conference on Advances in Mechanical Engineering and Industrial Informatics(AMEII 2016)

作者： Long Han Computer Science and Technology Tieling normal College

ISBN: (纸本)9781510823808

In this paper,a binocular vision system is adopted to realize the positioning of the *** using color and shape recognition method,the target image is processed by image processing,and the target image is obtained more complete and accurate,and the position of the target object is obtained by using the principle of double target stereo vision.

关键词： Robot vision Positioning

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computer vision system for defects detection in PET preform

Computer vision system for defects detection in PET preform

引用

international conference on Methods and Models in Automation and Robotics (MMAR)

作者： Andrius Laucka Darius Andriukaitis Algimantas Valinevicius Dangirutis Navikas Department of Electronics Engineering Kaunas University of Technology Lithuania

The computer vision systems are mainly devoted for production monitoring in quality inspection systems. It is the fastest growing and most popular non-invasive product defects detection method. The productivity of electronic components growth and their prices decline creates favorable conditions for the development of image processing systems for industrial production. The food industry is one of the main industries. Production volumes grow along with human population growth. Containers for food industry are made in very large quantities and demand on quality inspection system plays important role. An automated computer vision system was developed for the control of PET preparation quality. The implementation of the designed system was presented in this article. The system used for image processing algorithms to inspect the lateral and upper parts of the workpiece. The system is designed according to its operating parameters. Reached throughput is 10,000 workpieces per hour.

关键词： Lighting Cameras Production Positron emission tomography Sensitivity computer vision Switches

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MARKER BASED SIMPLE NON-OVERLAPPING CAMERA CALIBRATION

MARKER BASED SIMPLE NON-OVERLAPPING CAMERA CALIBRATION

引用

IEEE international conference on image processing

作者： Fangda Zhao Toru Tamaki Takio Kurita Bisser Raytchev Kazufumi Kaneda Hiroshima University

ISBN: (纸本)9781467399623

This paper describes a method for calibrating non-overlapping cameras in a simple way: using markers on the cameras. By adding an AR (Augmented Reality) marker to a camera, we can find the transformation between the fixed AR marker and the camera's center. With such information, relative pose of cameras can be easily found as long as the marker located on them is visible. Our method consists of the following two steps: (1) use an extra camera and a chessboard to find the transformation between the AR marker and the camera center. (2) Use the information from (1) and transformation between different markers to calibrate non-overlapping cameras. Compare to other non-overlapping calibration methods, our method can work with as less as one image and does not suffer from the degenerate cases.

关键词： Calibration Cameras computer vision Pose estimation Cameras pose estimation images computer vision Calibration non-overlapping camera calibration

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A Study on image Enhancement Methods for Printed Bangla Document images

A Study on Image Enhancement Methods for Printed Bangla Docu...

引用

international conference on Informatics, Electronics and vision

作者： Anika Binte Islam Fahim Salam Chowdhury Fariha Nusrat Kazi Lutful Kabir Hasan Sarwar Department of Computer Science and Engineering Military Institute of Science and Technology Department of Computer Science and Engineering BRAC University Department of Computer Science and Engineering United International University

ISBN: (纸本)9781509012701

image enhancement is the process of modification of digital images in order to make quality resultant images such that those can be subjected to further manipulation (like further image analysis). There are several ways to implement image enhancement techniques. In this paper, we have studied a number of image enhancement methods consisting of binarization techniques and hybridization of such techniques. After applying those methods on scanned Bangla document images, we have analyzed the reconstructed images. Then, we have gone for the quantitative analysis portion. To accomplish that, we have measured the recognition rate and then examined the improvement ratio of the unprocessed samples versus reconstructed images in terms of recognition rate. Our analysis critically emphasizes the requirement to apply image enhancement methods. This study will certainly help the researchers to select appropriate image enhancement method(s) for processing low quality Bangla printed document images.

关键词： Binarization Document image image enhancement Reconstruction Threshold

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Shearlet based medical image fusion using pulse-coupled neural network with fuzzy memberships 10

Shearlet based medical image fusion using pulse-coupled neur...

引用

10th Indian conference on computer vision, Graphics and image processing, ICVGIP 2016

作者： Mishra, Niladri Shekhar Das, Sudeb Chakrabarti, Amlan Department of Electronics and Communication Engineering Netaji Subhash Engineering College Kolkata700152 India Videonetics Technology Private Limited B.P. Block Sector V Salt Lake City Kolkata700091 India A.K. Choudhury School of Information Technology University of Calcutta Kolkata700009 India

In this article, we propose a novel multimodal Medical image Fusion (MIF) method based on a neuro-fuzzy technique in the transform (Non-Subsampled Shearlet Transform (NSST)) domain for spatially registered, multi-modal medical images. The source medical images are first decomposed by NSST. The low-frequency subbands (LFSs) are fused using the Max-selection rule. Fuzzy triangular memberships are derived from a specific neighborhood-region of each high-frequency coefficient. Then they (high-frequency subbands, HFSs) are fused using a biologically inspired neural network (Pulse Coupled Neural Network (PCNN)) according to our newly proposed rule. Then inverse NSST (INSST) is applied to the fused coefficients to get the fused image. Visual and quantitative analysis and comparisons with state-of-the-art MIF techniques show the effectiveness of the proposed scheme in fusing multimodality medical images. © Springer international Publishing AG 2017.

关键词： image fusion

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