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共 434 条记录，以下是181-190 订阅

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A study to support haptic collaboration with real time force feedback over wireless networks

A study to support haptic collaboration with real time force...

引用

1st International conference on robot, vision and Signal Processing, RVSP 2011

作者： Yap, Kian Meng Lee, Tsung-Han School of Computer Technology Sunway University College Bandar Sunway Petaling Jaya Selangor Malaysia National Taichung University Taichung Taiwan

ISBN: (纸本)9780769545813

this paper presents an investigation into a new peerto-peer wireless network architecture for real time tele-haptic operation in distributed virtual environments (DVEs). A novel force collaboration and position synchronization algorithm is developed in order to support wireless networked haptic interactions. The new peer-to-peer architecture is able to support haptic interactions over wireless IP networkes. Experiments have been conducted to show the performance of this with different wireless hopping. Experiments have also been conducted to investigate the threshold levels of QoS required (i.e. number of wireless hopping) for wireless networked haptic collaboration. Findings of the study are presented in this paper and it shows the challenges in conducting haptic collaboration over wireless IP networks. The wireless channel condition varies over time due to such factors as channel characteristics, the PHY scheme selected, time-varying interference, and the priority of services (QoS demands) from MAC/PHY layers. © 2011 IEEE.

关键词： Virtual reality

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Implementation of intelligent motor speed control using rotary encoder

Implementation of intelligent motor speed control using rota...

引用

1st International conference on robot, vision and Signal Processing, RVSP 2011

作者： Chao, Min Hsieh, Kunta Wang, Chin-Yu Chang, Hsinchiu Department of Civil Engineering and Engineering Informatics Cheng Shiu University Kaohsiung Taiwan Institute of Mechatronics Engineering Cheng Shiu University Kaohsiung Taiwan Graduate Institute of Mechatronics Engineering Cheng Shiu University Kaohsiung Taiwan Department of Computer Science and Information Engineering Cheng Shiu University Kaohsiung Taiwan

ISBN: (纸本)9780769545813

The project will try to implement the system with the NI Labview DAQ-6211 capture card to make intelligent motor speed control system, expect this architecture to learn new construction methods, and can develop new applications. Ideas in the hope of a simple feedback information, that is, to determine whether the current speed should be to accelerate or decelerate the motor commands. As the motor control system uses a PWM signal, so the time interval within the same time continuing the level of the signal width is different from the motor speed will result in different. We make a default speed under the control of motor speed in Labview to automatically achieve, so constantly adjust the speed target, the system will change the speed at any time, in order to achieve the set target speed. © 2011 IEEE.

关键词： Speed

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Object detection using principal contour fragments

Object detection using principal contour fragments

引用

canadian conference on computer and robot vision

作者： Xu, Changhai Kuipers, Benjamin Department of Computer Science University of Texas at Austin 1 University Station Austin TX 78712 United States Computer Science and Engineering University of Michigan 2260 Hayward Street Ann Arbor MI 48109 United States

ISBN: (纸本)9780769543628

Contour features play an important role in object recognition. Psychological experiments have shown that maximum-curvature points are most distinctive along a contour. This paper presents an object detection method based on \emph{Principal Contour Fragments (PCFs)}, where PCFs are extracted by partitioning connected edge pixels at maximum-curvature points. An object is represented by a set of PCFs and their mutual geometric relations. The mutual geometric relations are described in each PCF's local coordinate system, and they are invariant to translation, rotation, and scale. With this representation, given any individual PCF, the system is capable of predicting all other PCFs' geometric properties. Object instances are detected in test images by sequentially locating PCFs whose geometric properties best match their predictions. Detected objects are verified according to their similarity to the model based on both individual PCF descriptors and mutual relation descriptors. Evaluation results show that the system works well in the presence of background clutter, large scale changes, and intra-class shape variations. © 2011 IEEE.

关键词： Object detection

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Improved pressure sensitive paint measurement using natural feature tracking and piecewise linear resection

Improved pressure sensitive paint measurement using natural ...

引用

canadian conference on computer and robot vision

作者： Kuzub, Jeremy Mebarki, Youssef Whitehead, Anthony Department of Systems and Computer Engineering Carleton University Ottawa ON Canada Institute for Aerospace Research National Research Council Ottawa ON Canada School of Information Technology Carleton University Ottawa ON Canada

ISBN: (纸本)9780769543628

Wind tunnel Pressure Sensitive Paint (PSP) ratio techniques require accurate registration between wind-on and wind-off camera image pairs. The Piecewise Linear Resection (PLR) method of removing registration due to physical wind tunnel model motion and deformation errors can account for nonlinear deformations and benefits from increased tracking point coverage in the image. This work presents a method to increase the accuracy of PLR by tracking natural features in addition to standard fiducial markers. This is accomplished with Speeded-Up Robust Features (SURF) and a modified disparity gradient filtering technique. This work shows that this method of automatic PLR is feasible on wind tunnel imagery and that the resulting pressure data has reduced mis-registration noise without the need to perform 3D resection using virtual models and pre-defined deformation equations. © 2011 IEEE.

关键词： Wind tunnels

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Spatio-temporal facial features for HRI scenarios

Spatio-temporal facial features for HRI scenarios

引用

canadian conference on computer and robot vision

作者： Riaz, Zahid Gedikli, Suat Beetz, Michael Department of Computer Science Technical University of Munich D-85748 Garching Germany

ISBN: (纸本)9780769543628

Human faces are mostly seen in actions conveying various information in our daily life communication. On the other hand, human brains are capable of extracting this essential information in a very short interval of time resulting in a better interaction with others. For example, in interactive scenarios where human beings are assisted by intelligent systems or robots, it is quite useful to extract sufficient information about the interacting person. In this paper we study biometric and soft-biometric traits of the humans by using their face information using a single feature set which is representative of person's identity, gender and facial behavior. This problem is addressed using spatio-temporal multifeatures (stMF) extracted from image sequences using a 3D face model. Further, this feature set provides robustness against varying head poses and facial expressions. Experiments have been performed on laboratory captured images and three benchmark databases under varying poses and facial expressions. The results have been discussed comparatively with different approaches. © 2011 IEEE.

关键词： Face recognition

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Place classification using visual object categorization and global information

Place classification using visual object categorization and ...

引用

canadian conference on computer and robot vision

作者： Viswanathan, Pooja Southey, Tristram Little, James Mackworth, Alan Department of Computer Science University of British Columbia Vancouver BC Canada

ISBN: (纸本)9780769543628

Places in an environment are locations where activities occur, and can be described by the objects they contain. This paper discusses the completely automated integration of object detection and global image properties for place classification. We first determine object counts in various place types based on Label Me images, which contain annotations of places and segmented objects. We then train object detectors on some of the most frequently occurring objects. Finally, we use object detection scores as well as global image properties to perform place classification of images. We show that our object-centric method is superior and more generalizable when compared to using global properties in indoor scenes. In addition, we show enhanced performance by combining both methods. We also discuss areas for improvement and the application of this work to informed visual search. Finally, through this work we display the performance of a state-of-the-art technique trained using automatically-acquired labeled object instances (i.e., bounding boxes) to perform place classification of realistic indoor scenes. © 2011 IEEE.

关键词： Object recognition

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Utilizing geographic information system data for unmanned aerial vehicle position estimation

Utilizing geographic information system data for unmanned ae...

引用

canadian conference on computer and robot vision

作者： Patterson, Timothy McClean, Sally Morrow, Philip Parr, Gerard School of Computing and Information Engineering University of Ulster Cromore Road Coleraine BT52 1SA United Kingdom

ISBN: (纸本)9780769543628

For many sensing applications Unmanned Aerial Vehicles (UAVs) can provide a lightweight and highly portable solution. Inevitably they may encounter malfunctions, the most serious of which may require the UAV to land as soon as possible. From a safety prospective it is insufficient to assume the UAV can safely reach a previously determined safe landing site. It is therefore desirable to utilize a reliable source of knowledge such as Geographic Information System (GIS) data to aid in autonomous safe landing site detection. However, before this knowledge can be exploited the UAVs position must be known. This position is commonly estimated using GPS the failure of which may be the very reason an abort command has been issued. Presented in this paper is a method of UAV position estimation which can be executed in the event of GPS failure. Preliminary results are presented based on aerial imagery from the Antrim Plateau region of Northern Ireland which indicate potential in the approach used. © 2011 IEEE.

关键词： Geographic information systems

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Elastic shape registration using an incremental free form deformation approach with the ICP algorithm

Elastic shape registration using an incremental free form de...

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canadian conference on computer and robot vision

作者： Abdelmunim, Hossam Farag, Aly A. Computer and Systems Engineering Department Faculty of Engineering Ain Shams University Cairo 11517 Egypt Computer Vision and Image Processing Laboratory Electrical and Computer Engineering Department University of Louisville KY 40292 United States

ISBN: (纸本)9780769543628

Shape registration is one of the most challenging problems in computer vision and medical imaging. The process is affected by the way the shape is represented and the form of transformation used to move the source shape. Our paper handles the elastic shape registration by combining the incremental free form deformation (IFFD) with the point-based registration technique using the sum of least squares method. The iterative closest point (ICP) algorithm is used as a criteria to establish point correspondences in each level of the IFFD framework. The free form deformation (FFD) is well known in the literature and works by forming a lattice of control points that can move and hence deform the domain grid points smoothly and uniformly under some shape constrains. The control lattice resolution is increased step by step to achieve a satisfactory deformation of the source shape to exactly match the target boundaries. Our point-based registration is based on least squares that measure the Euclidean distance between source and target boundaries in addition to the shape constrains. The minimization gives a closed form solution of the lattice control points positions. Promising results will be demonstrated for closed and open shapes and structures. The approach can also work for structures that contain multiple parts without any problems. © 2011 IEEE.

关键词： Medical imaging

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Automatic colon segmentation using isolated-connected threshold

Automatic colon segmentation using isolated-connected thresh...

引用

1st International conference on robot, vision and Signal Processing, RVSP 2011

作者： Chang, Ku-Yaw Zhang, Hao-Han Chen, Shao-Jer Chen, Lih-Shyang Chen, Jia-Hong Department of Computer Science and Information Engineering Da-Yeh University Changhua Taiwan Department of Radiology Buddhist Dalin Tzu Chi General Hospital Chiayi Taiwan School of Medicine Buddhist Tzu Chi University Hualien Taiwan Department of Electrical Engineering National Cheng-Kung University Tainan Taiwan

ISBN: (纸本)9780769545813

Virtual colonoscopy (VC) is a safe and fast medical imaging procedure to screen the colon for polyps. And it has become very popular recently. Colon segmentation is a necessary and important step of such an examination procedure. In this paper, an automatic colon segmentation method is proposed. The fluid inside the colon is first identified and removed based on its characteristic of horizontal surface. A simple 3D region growing algorithm is applied to obtain initial segmentation of air, which is served as the basis of the ensuing automatic locating object and background seeds. Then the isolated-connected threshold algorithm, together with the above seeds, is applied to obtain the final results. The colon can be obtained by applying morphological operations to the segmentation results of air. Our proposed algorithm can automatically segment different substances based on the isolated-connected threshold. It allows the user to modify the segmentation results interactively by providing more object or background seeds. © 2011 IEEE.

关键词： Mathematical morphology

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Advances in Artificial Intelligence - 24th canadian conference on Artificial Intelligence, canadian AI 2011, proceedings

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24th canadian conference on Artificial Intelligence, AI 2011, Collocated with the 37th Graphics Interface conference, GI 2011 and 8th canadian conference on computer and robot vision, CRV 2011

ISBN: (纸本)9783642210426

The proceedings contain 50 papers. The topics discussed include: dynamic obstacle representations for robot and virtual agent navigation;grounding formulas with complex terms;moving object modelling approach for lowering uncertainty in location tracking systems;unsupervised relation extraction using dependency trees for automatic generation of multiple-choice questions;an improved satisfiable SAT generator based on random subgraph isomorphism;a learning method for developing PROAFTN classifiers and a comparative study with decision trees;using a heterogeneous dataset for emotion analysis in text;using semantic information to answer complex questions;automatic semantic web annotation of named entities;learning dialogue POMDP models from data;and characterizing a brain-based value-function approximator.

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