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Design of an enhanced visual odometry by building and matching compressive panoramic landmarks online

Wei LU,Zhi-yu XIANG,Ji-lin LIU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 152-165 doi: 10.1631/FITEE.1400139

Abstract: Efficient and precise localization is a prerequisite for the intelligent navigation of mobile robots. Traditional visual localization systems, such as visual odometry (VO) and simultaneous localization and mapping (SLAM), suffer from two shortcomings: a drift problem caused by accumulated localization error, and erroneous motion estimation due to illumination variation and moving objects. In this paper, we propose an enhanced VO by introducing a panoramic camera into the traditional stereo-only VO system. Benefiting from the 360° field of view, the panoramic camera is responsible for three tasks: (1) detecting road junctions and building a landmark library online; (2) correcting the robot’s position when the landmarks are revisited with any orientation; (3) working as a panoramic compass when the stereo VO cannot provide reliable positioning results. To use the large-sized panoramic images efficiently, the concept of compressed sensing is introduced into the solution and an adaptive compressive feature is presented. Combined with our previous two-stage local binocular bundle adjustment (TLBBA) stereo VO, the new system can obtain reliable positioning results in quasi-real time. Experimental results of challenging long-range tests show that our enhanced VO is much more accurate and robust than the traditional VO, thanks to the compressive panoramic landmarks built online.

Keywords： Visual odometry     Panoramic landmark     Landmark matching     Compressed sensing     Adaptive compressive feature    

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Beyond bag of latent topics: spatial pyramid matching for scene category recognition

Fu-xiang LU,Jun HUANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 817-828 doi: 10.1631/FITEE.1500070

Abstract: We propose a heterogeneous, mid-level feature based method for recognizing natural scene categories. The proposed feature introduces spatial information among the latent topics by means of spatial pyramid, while the latent topics are obtained by using probabilistic latent semantic analysis (pLSA) based on the bag-of-words representation. The proposed feature always performs better than standard pLSA because the performance of pLSA is adversely affected in many cases due to the loss of spatial information. By combining various interest point detectors and local region descriptors used in the bag-of-words model, the proposed feature can make further improvement for diverse scene category recognition tasks. We also propose a two-stage framework for multi-class classification. In the first stage, for each of possible detector/descriptor pairs, adaptive boosting classifiers are employed to select the most discriminative topics and further compute posterior probabilities of an unknown image from those selected topics. The second stage uses the prod-max rule to combine information coming from multiple sources and assigns the unknown image to the scene category with the highest ‘final’ posterior probability. Experimental results on three benchmark scene datasets show that the proposed method exceeds most state-of-the-art methods.

Keywords： Scene category recognition     Probabilistic latent semantic analysis     Bag-of-words     Adaptive boosting    

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A new method of rock-explosive matching in drilling and blasting based on reasonable control of the crushed

LengZhendong,LuWenbo,YanPeng, ChenMing,Hu Yingguo

Strategic Study of CAE 2014, Volume 16, Issue 11,   Pages 28-35

Abstract:

Reasonable rock-explosive matching is of great important to the enhancingThe traditionally emphasized method of acoustic impedance matching is not reasonable.Starting from the blasting breakage mechanism, a new method of rock-explosive matching in drilling and

Keywords： drilling and blasting     crushed zone     rock-explosive matching     acoustic impedance matching    

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Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1403-1417 doi: 10.1007/s11709-020-0666-8

Abstract: XML Schema matching enables qualitative improvement of the stored data.This study aimed to enhance the applicability of XML Schema matching, which improves the speed and qualityFirst, the authors proposed a method of reducing the computing time for the schema matching of bridgeThe computing speed of schema matching was increased by 13 to 1800 times by reducing the checking processSecond, the authors developed a heuristic solution for selecting the optimal weight factors used in the matching

Keywords： structural calculation document     bridge structure     XML Schema matching     weight factor     data mining     decision    

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A algorithm for binocular stereo matching in the presence of specular reflections

Lu Sijun,Tang Zhenmin,Guo Longyuan,Lu Ali

Strategic Study of CAE 2010, Volume 12, Issue 1,   Pages 56-60

Abstract: most part of an image, processing of regions that contain specular reflections can result in severe matchingIn this paper, we address the problem of binocular stereo dense matching in the presence of specular

Keywords： stereo matching     diffuse reflection     specular reflection     chromaticity    

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Multi-UAV collaborative system with a feature fast matching algorithm

Tian-miao Wang, Yi-cheng Zhang, Jian-hong Liang, Yang Chen, Chao-lei Wang,zycet@126.com

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 12,   Pages 1671-1814 doi: 10.1631/FITEE.2000047

Abstract: real time, we demonstrate an innovative algorithm to avoid catastrophic expansion of feature point matchingBased on the hash and principal component analysis, the matching time complexity of this algorithm can
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Study on channcl resolution matching algorithm for HY-2 satellite

Huang Lei,Zhou Wu,Li Yanmin

Strategic Study of CAE 2014, Volume 16, Issue 6,   Pages 65-69

Abstract: The result showed that the matching with resolution decreasing could simulate the real instrument observation

Keywords： scanning microwave radiometer     HY-2     resolution matching     Backus-Gilbert algorithm    

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Overlap maximum matching ratio (OMMR): a new measure to evaluate overlaps of essential modules

Xiao-xia ZHANG,Qiang-hua XIAO,Bin LI,Sai HU,Hui-jun XIONG,Bi-hai ZHAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4,   Pages 293-300 doi: 10.1631/FITEE.1400282

Abstract: In this paper, an evaluation criterion called overlap maximum matching ratio (OMMR) is proposed to analyze

Keywords： Protein-protein interaction network     Essential protein modules     Overlap     Overlap maximum matching ratio    

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A Weighted Block-matching Criterion for the Hardware Implementation of Motion Estimators

Zhang Xia,Zheng Nanning,Zhang Guanglie,Wu Yong,Wang Shaorui,Xu Weipu

Strategic Study of CAE 2002, Volume 4, Issue 1,   Pages 47-53

Abstract: Block-matching motion estimating algorithm is widely used in real system because of its low computingcomplication, easy realization and high call frequency of the block-matching criterion in the hardware

Keywords： video processing     motion compensation     motion estimation     block-matching criterion    

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A knowledge push technology based on applicable probability matching and multidimensional context driving None

Shu-you ZHANG, Ye GU, Xiao-jian LIU, Jian-rong TAN

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2,   Pages 235-245 doi: 10.1631/FITEE.1700763

Abstract: A knowledge push technology usually includes matching of related knowledge and proper pushing of matchingExisting approaches on knowledge matching commonly have a lack of intel-ligence.Also, the pushing of matching results is less personalized.In this paper, we propose a knowledge push technology based on applicable probability matching and multidimensionalprobability values, application and non-application, were calculated via a Bayesian theorem to describe the matching

Keywords： Product design     Knowledge push     Applicable probability matching     Multidimensional context     Personalization    

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Towards adaptable and tunable cloud-based map-matching strategy for GPS trajectories Article

Aftab Ahmed CHANDIO,Nikos TZIRITAS,Fan ZHANG,Ling YIN,Cheng-Zhong XU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 12,   Pages 1305-1319 doi: 10.1631/FITEE.1600027

Abstract: The map-matching process, which is responsible for the accurate alignment of observed GPS positions ontoRegarding accuracy, the performance of a map-matching strategy is based on the shortest path betweenCurrent map-matching techniques are approached with a fixed number of parameters, i.e., the number ofIn this paper, we propose real-time map-matching (called RT-MM), which is a fully adaptive map-matchingstrategy based on cloud to address the key challenge of SPQs in a map-matching process for real-time

Keywords： Map-matching     GPS trajectories     Tuning-based     Cloud computing     Bulk synchronous parallel    

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Improved Matching Algorithms for Linear Face Class Model

Fu Yun,Zheng Nanning

Strategic Study of CAE 2005, Volume 7, Issue 2,   Pages 47-56

Abstract:

An advanced matching technique for linear face class model is proposed, which can solve the problemalgorithm is used to compute the near global optimal solution that may fit to yield accurate model matchingexperimental results in subjective evaluation and objective evaluation demonstrate the advanced model matching

Keywords： facial modeling     model matching     stochastic gradient descent     non-uniform sampling     multiresolution analysis    

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An investigation on stress distribution effect on multi- piezoelectric energy harvesters

Hailu YANG, Dongwei CAO

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 3,   Pages 301-307 doi: 10.1007/s11709-017-0404-z

Abstract: With the fast development of piezoelectric materials and due to its green and renewable characteristics, the piezoelectric energy harvesting technology has been paid more and more attention by pavement engineers. The stress distribution will significantly affect the piezoelectric material performance. In this paper, the effects of multiple piezoelectric elements on the generation of electrical energy and output power are studied. In the case of constant external load, the number of the piezoelectric units does not necessarily produce more energy. When the same multi piezoelectric units work together, if the stress state of the piezoelectric units is different, the total output energy affected by the connection mode. For uneven stress distribution, the optimal output mode is that each of the piezoelectric units rectified before connected in parallel.

Keywords： piezoelectric transducer     uneven stress     impedance matching     optimal energy output    

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Improving the reconstruction efficiency of sparsity adaptive matching pursuit based on the Wilkinsonmatrix None

Rasha SHOITAN, Zaki NOSSAIR, I. I. IBRAHIM, Ahmed TOBAL

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 503-512 doi: 10.1631/FITEE.1601588

Abstract: Sparsity adaptive matching pursuit (SAMP) is a greedy reconstruction algorithm for compressive sensing

Keywords： Block compressive sensing     Sparsity adaptive matching pursuit     Greedy algorithm     Wilkinson matrix    

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Three-dimensional face point cloud hole-filling algorithm based on binocular stereo matching and a B-spline Research Articles

Yuan HUANG, Feipeng DA,whhbb@163.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3,   Pages 398-408 doi: 10.1631/FITEE.2000508

Abstract: In this study, we propose a hole-filling method based on stereo-matching technology combined with a .By registering the face point cloud data using the stereo-matching algorithm and the data collected using

Keywords： Three-dimensional (3D) point cloud     Hole filling     Stereo matching     B-spline    

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Title Author Date Type Operation

Design of an enhanced visual odometry by building and matching compressive panoramic landmarks online

Wei LU,Zhi-yu XIANG,Ji-lin LIU

Journal Article

Beyond bag of latent topics: spatial pyramid matching for scene category recognition

Fu-xiang LU,Jun HUANG

Journal Article

A new method of rock-explosive matching in drilling and blasting based on reasonable control of the crushed

LengZhendong,LuWenbo,YanPeng, ChenMing,Hu Yingguo

Journal Article

Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Journal Article

A algorithm for binocular stereo matching in the presence of specular reflections

Lu Sijun,Tang Zhenmin,Guo Longyuan,Lu Ali

Journal Article

Multi-UAV collaborative system with a feature fast matching algorithm

Tian-miao Wang, Yi-cheng Zhang, Jian-hong Liang, Yang Chen, Chao-lei Wang,zycet@126.com

Journal Article

Study on channcl resolution matching algorithm for HY-2 satellite

Huang Lei,Zhou Wu,Li Yanmin

Journal Article

Overlap maximum matching ratio (OMMR): a new measure to evaluate overlaps of essential modules

Xiao-xia ZHANG,Qiang-hua XIAO,Bin LI,Sai HU,Hui-jun XIONG,Bi-hai ZHAO

Journal Article

A Weighted Block-matching Criterion for the Hardware Implementation of Motion Estimators

Zhang Xia,Zheng Nanning,Zhang Guanglie,Wu Yong,Wang Shaorui,Xu Weipu

Journal Article

A knowledge push technology based on applicable probability matching and multidimensional context driving

Shu-you ZHANG, Ye GU, Xiao-jian LIU, Jian-rong TAN

Journal Article

Towards adaptable and tunable cloud-based map-matching strategy for GPS trajectories

Aftab Ahmed CHANDIO,Nikos TZIRITAS,Fan ZHANG,Ling YIN,Cheng-Zhong XU

Journal Article

Improved Matching Algorithms for Linear Face Class Model

Fu Yun,Zheng Nanning

Journal Article

An investigation on stress distribution effect on multi- piezoelectric energy harvesters

Hailu YANG, Dongwei CAO

Journal Article

Improving the reconstruction efficiency of sparsity adaptive matching pursuit based on the Wilkinsonmatrix

Rasha SHOITAN, Zaki NOSSAIR, I. I. IBRAHIM, Ahmed TOBAL

Journal Article

Three-dimensional face point cloud hole-filling algorithm based on binocular stereo matching and a B-spline

Yuan HUANG, Feipeng DA,whhbb@163.com

Journal Article