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检索条件"任意字段=Conference on Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques"

共 375 条记录，以下是271-280 订阅

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Grating optical diffractive image pre-processing in optical sensors copying human vision (OPTORETINA)

Grating optical diffractive image pre-processing in optical ...

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conference on intelligent robots and computer vision XVII - algorithms, techniques, and Active vision

作者： Lauinger, N CORRSYS GMBH D-35578 Wetzlar Germany

ISBN: (纸本)081942983X

Three-dimensional multilayer phase gratings (nuclear layers in the human retina) of oscillating cells positioned in the image plane of a monocular optical imaging system transform tight double cones by diffraction and pulsation (quantization) into the reciprocal space behind the grating (Fourier-space in the Fresnel-nearfield). This effect we call OPTORETINA not only guarantees the transformation of the physical stimuli parameters (intensity/wavelength) in the visible spectrum into three chromatically tuned adaptive RGB-color channels (diffraction orders with Brightness-Hue-Saturation aspects) and of object. distances in 3D-space into spatial frequencies or temporal phase differences in reciprocal space (the MULTIDIST grating optical sensors developed at CORRSYS). The 3D-grating, acting as a spatiotemporal frequency and spectral filter, contributes to image pre-processing in Fourier-space. it allows patchwise Fourier-analysis in the Fresnel-nearfield based on weighted Patterson maps of centrosymmetric hexagonal multilayer gratings. Spectral/temporal modulation and spatial frequency analysis seem to be orthogonal to each other as in audition. The OPTORETINA with its cellular diffractive 3D-gratings and their power spectra illustrates a specific part of cortical 4D-spatiotemporal processing. A cortical modulator becomes relevant for temporal coincidence detection and spectral/spatiotemporal correlation in complex image processing, relating multimodal stimulus parameters to internal timing.

关键词： OPTORETINA image processing diffractive optical filtering spatiotemporal frequency analysis 3D-gratings Patterson map

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Scenario-based simulation of intelligent driving functions using neural networks 9

Scenario-based simulation of intelligent driving functions u...

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9th International conference on Computing, Communication and Networking Technologies (ICCCNT)

作者： Kaur, Parampreet Sobti, Rajeev Lovely Profess Univ Sch Comp Sci Engn Jalandhar India

ISBN: (纸本)9781538644300

The modern technological era is witnessing a significant advancement in AI related fields such as machine learning, mobile robots and autonomous vehicles. The success of such systems is immensely dependent on computer vision algorithms. The entirely software enabled intelligent vehicles will soon be hitting the roads in the coming decade. Such self-controlled mobile robots may still be vulnerable to accidents or crashes. Therefore, the industry requires some state of the art techniques to substantiate the safety and protection of its passengers as well as other road users. Simulation based testing methods have been in use from a long time, but the newer smart vehicle innovations require better versions of simulation techniques. We thus provide an improved mechanism for simulation testing to validate safe navigation of cars in variety of traffic scenarios. Neural network approach integrated with agent based modelling is described in this paper.

关键词： Agent based modelling intelligent driving SAE autonomy levels simulation ADAS

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An Online Visual Loop Closure Detection Method for Indoor Robotic Navigation 32

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conference on intelligent robots and computer vision XXXII - algorithms and techniques

作者： Erhan, Can Sariyanidi, Evangelos Sencan, Onur Temeltas, Hakan Istanbul Tech Univ Control & Automat Engn Dept TR-34469 Istanbul Turkey Ctr Intelligent Sensing London E1 4NS England

ISBN: (纸本)9781628414967

In this paper, we present an enhanced loop closure method* based on image-to-image matching relies on quantized local Zernike moments. In contradistinction to the previous methods, our approach uses additional depth information to extract Zernike moments in local manner. These moments are used to represent holistic shape information inside the image. The moments in complex space that are extracted from both grayscale and depth images are coarsely quantized. In order to find out the similarity between two locations, nearest neighbour (NN) classification algorithm is performed. Exemplary results and the practical implementation case of the method are also given with the data gathered on the testbed using a Kinect. The method is evaluated in three different datasets of different lighting conditions. Additional depth information with the actual image increases the detection rate especially in dark environments. The results are referred as a successful, high-fidelity online method for visual place recognition as well as to close navigation loops, which is a crucial information for the well known simultaneously localization and mapping (SLAM) problem. This technique is also practically applicable because of its low computational complexity, and performing capability in real-time with high loop closing accuracy.

关键词： Loop closure Zernike Moments image processing SLAM depth map indoor navigation

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The effect of spatial resolution reduction techniques on the temporal properties of video sequences

The effect of spatial resolution reduction techniques on the...

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IEEE/RSJ International conference on intelligent robots and Systems

作者： Saitwal, K Maciejewski, AA Roberts, RG Colorado State Univ Dept Elect & Comp Eng Ft Collins CO 80523 USA

ISBN: (纸本)0780389123

Singular value decomposition (SVD) is a common technique that is performed on video sequences in a number of computer vision and robotics applications. The left singular vectors represent the eigenimages, while the right singular vectors represent the temporal properties of the video sequence. It is obvious that spatial reduction techniques affect the left singular vectors, however, the extent of their effect on the right singular vectors is not clear. Understanding how the right singular vectors are affected is important because many SVD algorithms rely on computing them as an intermediate step to computing the eigenimages. The work presented here quantifies the effects of different spatial resolution reduction techniques on the right singular vectors that are computed from those video sequences. Examples show that using random sampling for spatial resolution reduction rather than a low-pass filtering technique results in less perturbation of the temporal properties.

关键词： singular value decomposition right singular vectors spatial resolution reduction temporal properties

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High speed scanning: An improved algorithm

High speed scanning: An improved algorithm

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conference on intelligent robots and computer vision XIV - algorithms, techniques, Active vision, and Materials Handling

作者： Nachimuthu, A Hoang, K UNIV NEW S WALES SCH MECH & MFG ENGNSYDNEYNSW 2052AUSTRALIA

ISBN: (纸本)0819419524

In using machine vision for assessing an object's surface quality, many images are required to be processed in order to separate the good areas from the defective ones. Examples can be found in the leather hide grading process; in the inspection of garments/canvas on the production line; in the nesting of irregular shapes into a given surface... . The most common method of subtracting the total area from the sum of defective areas does not give an acceptable indication of how much of the `good' area can be used, particularly if the findings are to be used for the nesting of irregular shapes. This paper presents an image scanning technique which enables the estimation of useable areas within an inspected surface in terms of the user's definition, not the supplier's claims. That is, how much useable area the user can use, not the total good area as the supplier estimated. An important application of the developed technique is in the leather industry where the tanner (the supplier) and the footwear manufacturer (the user) are constantly locked in argument due to disputed quality standards of finished leather hide, which disrupts production schedules and wasted costs in re-grading, re- sorting... . The developed basic algorithm for area scanning of a digital image will be presented. The implementation of an improved scanning algorithm will be discussed in detail. The improved features include Boolean OR operations and many other innovative functions which aim at optimizing the scanning process in terms of computing time and the accurate estimation of useable areas.

关键词： Inspection Manufacturing Machine vision Image processing Algorithm development Image resolution Image segmentation Statistical analysis Light sources and illumination Standards development

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On-Line Measurement of Ski-Jumper trajectory: combining Stereo vision and Shape Description

On-Line Measurement of Ski-Jumper trajectory: combining Ster...

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27th conference on intelligent robots and computer vision: algorithms and techniques

作者： Nunner, T. Sidla, O. Paar, G. Nauschnegg, B. Joanneum Res Inst Digital Image Proc Wastiangasse 6 A-8010 Graz Austria SLR Engn EU A-8010 Graz Austria

ISBN: (纸本)9780819479327

Ski jumping has continuously raised major public interest since the early 70s of the last century, mainly in Europe and Japan. The sport undergoes high-level analysis and development, among others, based on biodynamic measurements during the take-off and flight phase of the jumper. We report on a vision-based solution for such measurements that provides a full 3D trajectory of unique points on the jumper's shape. During the jump synchronized stereo images are taken by a calibrated camera system in video rate. Using methods stemming from video surveillance, the jumper is detected and localized in the individual stereo images, and learning-based deformable shape analysis identifies the jumper's silhouette. The 3D reconstruction of the trajectory takes place on standard stereo forward intersection of distinct shape points, such as helmet top or heel. In the reported study, the measurements are being verified by an independent GPS measurement mounted on top of the Jumper's helmet, synchronized to the timing of camera exposures. Preliminary estimations report an accuracy of +/-20 cm in 30 Hz imaging frequency within 40m trajectory. The system is ready for fully-automatic on-line application on ski-jumping sites that allow stereo camera views with an approximate base-distance ratio of 1: 3 within the entire area of investigation.

关键词： ski-jumping active-shape-model calibration stereo-reconstruction online-tracking Eigenshape GPS

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Aspects in automatic nesting of irregular shapes

Aspects in automatic nesting of irregular shapes

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conference on intelligent robots and computer vision XIV - algorithms, techniques, Active vision, and Materials Handling

作者： Hoang, K UNIV NEW S WALES SCH MECH & MFG ENGNSYDNEYNSW 2052AUSTRALIA

ISBN: (纸本)0819419524

Nesting of shoe parts onto a leather hide is a very complex puzzle. This is because firstly, both the shoe parts and the leather hide are of irregular shapes and secondly, leather quality is not uniform throughout the hide, certain zones are only suitable for certain types of shoe parts. Moreover, leather hide bears stretch directions which some shoe parts are not permitted to be nested in at certain angles to the hide's stretch directions. Thirdly, the pose of defects in some shoe parts can be acceptable or unacceptable depending on the manufacturer's quality standard. Machine vision researchers have been attempting to capture the hide defect map and use this data file for assisting the computerization nesting of the irregular shapes. There are many challenging tasks in the visual inspection stage which affect the performance of the nesting systems. An essential assignment is the clustering of leather defects. Two vital parameters required in the clustering of defects are the minimum Euclidean distance between defects to be clustered and the re-classification of the newly formed cluster if it contains more than one type of defect or satisfied more serious defect type definition. In order to minimize the wastage in yield, this work recommends that during the inspection stage, only defects of the same type are to be clustered and the process should cease at the point where the newly formed cluster is to become a more serious defect type. The question of minimum Euclidean distance should be considered at both inspection stage as a preliminary clustering operation and at the nesting stage when the shoe size and part shapes are known, as a fine tuned process.

关键词： leather defect inspection clustering nesting machine vision

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Internet-based control for the intelligent unmanned ground vehicle: Bearcat cub

Internet-based control for the intelligent unmanned ground v...

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conference on intelligent robots and computer vision XXI

作者： Ghaffari, M Narayanan, S Sethuramasamyraja, B Hall, EL Univ Cincinnati Ctr Robot Res Cincinnati OH 45221 USA

ISBN: (纸本)081945155X

Secure remote access with inter-operatability for operating a robot can be successfully achieved using the web services provided in the NET framework. The complete design of the machine discussed in this paper is made on the NET framework. The server which operates the robot is configured to US. The algorithm for obstacle detection is coded on a different server using the NET framework. By using web services, the robot can be accessed by other servers. These web services are consumed by the server on which the robot executes. A proxy is created on this server. The whole control is given in the form of a series of web pages which can be accessed by any web browser. However in order to input parameters and control the robot, authentication is required. The user provides authentication credentials which are matched with the existing information on the data base. After authentication, the user proceeds further to control the robot. The security and reliability of remote access is provided by the components that come with the web services namely, SOAP, WSDL and Proxy.

关键词： robotics .NET remote control tele-robotics Internet-based control unmanned ground vehicle

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Finger Tracking for Hand-held Device Interface Using Profile-matching Stereo vision

Finger Tracking for Hand-held Device Interface Using Profile...

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conference on intelligent robots and computer vision XXX - algorithms and techniques

作者： Chang, Yung-Ping Lee, Dah-Jye Moore, Jason Desai, Alok Tippetts, Beau Brigham Young Univ Dept Elect & Comp Engn Provo UT 84602 USA

ISBN: (纸本)9780819494351

Hundreds of millions of people use hand-held devices frequently and control them by touching the screen with their fingers. If this method of operation is being used by people who are driving, the probability of deaths and accidents occurring substantially increases. With a non-contact control interface, people do not need to touch the screen. As a result, people will not need to pay as much attention to their phones and thus drive more safely than they would otherwise. This interface can be achieved with real-time stereovision. A novel Intensity Profile Shape-Matching Algorithm is able to obtain 3-D information from a pair of stereo images in real time. While this algorithm does have a trade-off between accuracy and processing speed, the result of this algorithm proves the accuracy is sufficient for the practical use of recognizing human poses and finger movement tracking. By choosing an interval of disparity, an object at a certain distance range can be segmented. In other words, we detect the object by its distance to the cameras. The advantage of this profile shape-matching algorithm is that detection of correspondences relies on the shape of profile and not on intensity values, which are subjected to lighting variations. Based on the resulting 3-D information, the movement of fingers in space from a specific distance can be determined. Finger location and movement can then be analyzed for non-contact control of hand-held devices.

关键词： stereo vision hand-held device interface non-contact control finger tracking

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Cavity surface measuring system using stereo reconstruction

Cavity surface measuring system using stereo reconstruction

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conference on intelligent robots and computer vision XV: algorithms, techniques, Active vision, and Materials Handling

作者： Paar, G Bauer, A Joanneum Research Institute (Austria)

ISBN: (纸本)0819423068

Three-dimensional (3D) reconstruction of highly textured surfaces on unvegetated (rock-like) terrain is of major interest for stereo vision based mapping applications. We describe a prototype system for automatic modeling of such scenes. It is based on two frame CCD cameras, which are tightly attached to each other ensuring constant relative orientation. One camera is used to acquire known reference points to get the exterior orientation of the system, the other records the surface images. The system is portable to keep image acquisition as short as possible. Automatic calibration using the images acquired by the calibration camera permits the computation of exterior orientation parameters of the surface camera via a transformation matrix. A robust matching method providing dense disparities together with a flexible reconstruction algorithm renders an accurate grid of 3D points on arbitrarily shaped surfaces. The results of several stereo reconstructions are merged. Projection onto the global shape allows easy evaluation of volumes, and thematic mapping with respect to the desired surface geometry in construction processes. We report on accuracy and emphasize on the practical usage. It is shown that the prototype system is able to generate a proper data set of surface descriptions that is accurate and dense enough to serve as documentation, planning and accounting basis.

关键词： stereo matching 3D reconstruction computer vision photogrammetry calibration rock surface volume measurements

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