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检索条件"任意字段=International Symposium on 3D Data Processing Visualization and Transmission"

共 1618 条记录，以下是1521-1530 订阅

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Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level optimization

Joint Unsupervised Learning of Optical Flow and Egomotion wi...

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international Conference on 3d Imaging, Modeling, processing, visualization and transmission (3dIMPVT)

作者： Shihao Jiang dylan Campbell Miaomiao Liu Stephen Gould Richard Hartley Australian National University Australian Centre for Robotic Vision Data61 CSIRO

ISBN: (数字)9781728181288

ISBN: (纸本)9781728181295

We address the problem of joint optical flow and camera motion estimation in rigid scenes by incorporating geometric constraints into an unsupervised deep learning framework. Unlike existing approaches which rely on brightness constancy and local smoothness for optical flow estimation, we exploit the global relationship between optical flow and camera motion using epipolar geometry. In particular, we formulate the prediction of optical flow and camera motion as a bi-level optimization problem, consisting of an upper-level problem to estimate the flow that conforms to the predicted camera motion, and a lower-level problem to estimate the camera motion given the predicted optical flow. We use implicit differentiation to enable backpropagation through the lower-level geometric optimization layer independent of its implementation, allowing end-toend training of the network. With globally-enforced geometric constraints, we are able to improve the quality of the estimated optical flow in challenging scenarios, and obtain better camera motion estimates compared to other unsupervised learning methods.

关键词： Optical imaging Optimization Cameras Geometrical optics Estimation Optical losses Geometry

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Real-Time Capability of dlr's Beamforming Synthetic Aperture Radar processing Architecture

Real-Time Capability of Dlr's Beamforming Synthetic Aperture...

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IEEE international symposium on Geoscience and Remote Sensing (IGARSS)

作者： Maron Schlemon Martin Schulz Rolf Scheiber Marc Jäger Joel Amao Oliva German Aerospace Center (DLR) Microwaves and Radar Institute Germany Chair of Computer Architecture and Parallel Systems Technical University of Munich Germany

ISBN: (数字)9798350320107

ISBN: (纸本)9798350331745

Synthetic Aperture Radar (SAR) enables the generation of realistic and high-resolution 2d or 3d representations of landscapes. Typically, radar instruments are deployed in specially equipped, low-flying aircraft that capture a significant amount of raw data, necessitating image reconstruction processing. However, the aircraft's limited onboard processing capabilities (power, size, weight, cooling, and communication bandwidth to ground stations) and the need to generate multiple SAR products, such as slant-range and geo-coded images during a single flight, require efficient onboard processing and transmission to the ground station. This paper outlines the processing architecture of the digital beamforming SAR (dBFSAR) employed by the German Aerospace Center (dLR) and the specific measures implemented to enable onboard processing. We elucidate the essential software optimizations and their integration into the SAR onboard routines, facilitating (near) real-time capability under certain conditions. Furthermore, we share the insights gained from our work and discuss their applicability to other processing scenarios with limited resource availability.

关键词： Three-dimensional displays Array signal processing Instruments Computer architecture Radar imaging Real-time systems Software

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detection and imaging of small buried 3d non-metallic objects with multistatic phase-based GPR signatures

Detection and imaging of small buried 3D non-metallic object...

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IEEE international symposium on Geoscience and Remote Sensing (IGARSS)

作者： B. Sai L.P. Ligthart International Research Centre for Telecommunications-transmission and Radar (IRCTR) Department of Electrical Engineering Faculty of Information Technology and Systems Delft University of Technnology Delft Netherlands

In this paper the bistatic and monostatic phase-based ground-penetrating radar (GPR) technique for ingenious detection of poor-contrast scattering objects hidden just beneath the air-ground interface is discussed. This technique neither requires a priori knowledge about the background medium nor needs any pure background measurement. It was developed to deal with one of the worst-case scenarios in terms of landmine detection. The method was tested with the data measured from the L-band and S-band stepped-frequency continuous-wave GPR over the compound soil where small non-metallic mines are shallowly buried. The results demonstrate that it is feasible to detect small buried poor-contrast objects by using coherent phase processing and imaging.

关键词： Buried object detection Phase detection Ground penetrating radar Radar detection Soil measurements Object detection Radar scattering Landmine detection Testing L-band

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Multimodal image-guidance for noninvasive surgery: registration, segmentation, and statistical imaging models

Multimodal image-guidance for noninvasive surgery: registrat...

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international symposium on Signal processing and Its Applications (ISSPA)

作者： E.S. Ebbini University of Minnesota USA

Summary form only given, as follows. Image-guided noninvasive and minimally invasive therapeutic procedures are becoming increasingly attractive in the practice of surgery in modern medicine. The last decade has witnessed significant efforts to develop therapeutic devices employing various forms of non-ionizing radiation to produce localized tissue necrosis and/or ablation to achieve a desired therapeutic end point. However, image guidance is one of the major challenges common to all noninvasive and minimally invasive procedures including biopsy, thermal ablation, endoscopy, and laparoscopy. Interactive image guidance paradigms increasingly utilize complimentary information from image data from two different modalities. In thermal ablation, for example, 3d MR patient data sets are utilized for treatment planning and target delineation while 2d real-time ultrasound is utilized for visualization of the ablated region. In this case, successful registration of images from the two modalities is key to the eventual success of this kind of noninvasive surgery in the future. The general area of multimodality image registration is currently receiving significant attention from the medical image processing community. Interactive image guidance requires intramodality as well as intermodality registration of time varying images of the region of interest. The time varying nature of the problem is due to tissue motion and deformation as well as changes in tissue properties due to the therapeutic agents, e.g., heat. Here, the current status of image registration in medical image processing is described. Examples of frame based, point landmark based, and voxel based image registration algorithms are given. Some of the special considerations for successful registration of time varying imagery undergoing motion and deformation are described. Optical flow techniques for motion analysis and target tracking are discussed. In addition, statistical imaging models for treatment monitoring

关键词： Noninvasive treatment Minimally invasive surgery Image registration Biomedical image processing Signal processing algorithms Optical signal processing Biomedical imaging Biopsy Endoscopes Laparoscopes

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Constructing models of articulating objects: range data partitioning

Constructing models of articulating objects: range data part...

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international Conference on 3d Imaging, Modeling, processing, visualization and transmission (3dIMPVT)

作者： A.P. Ashbrook R.B. Fisher Department of Artificial Intelligence University of Edinburgh Edinburgh UK

In this paper we consider one aspect of the problem of automatically building shape models of articulating objects from example range images. Central to the model construction problem is the registration of range data, taken from different vantage points, into a common coordinate frame. This involves determining a transformation for each set of range data which aligns overlapping surface points in the common frame. Current registration algorithms have been developed specifically for rigid objects, but it is not obvious how these can be extended to articulated or more generally deformable objects. Here, we propose that range images of articulated objects are first segmented into their rigid subcomponents. Each subcomponent can then be registered in isolation using the existing algorithms designed specifically for rigid parts and the final model formed by reassembling all of the submodels. This has motivated the development of a rigid part segmentation algorithm which is described and demonstrated here. The algorithm is currently limited to non-umbilic surfaces, but in this more restricted domain is shown to work well.

关键词： Partitioning algorithms Artificial intelligence Image segmentation Shape measurement Robotic assembly Motion analysis Buildings Algorithm design and analysis Coordinate measuring machines Lapping

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The experimental setup for image reconstruction using the acoustic and EM fields visualization technique based on the MAS

The experimental setup for image reconstruction using the ac...

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Trans Black Sea Region symposium on Applied Electromagnetism

作者： G. Sapharishvili R. Zaridze G. Bit-Babik K. Tavzarashvili A. Bijamov Department of Physics Tbilisi State University Georgia

Summary form only given. In the Laboratory of Applied Electrodynamics the holographic technique for visualization of the wave fields was developed. This method is based on the method of auxiliary sources and allows one to reconstruct the image of the object (target) illuminated by an ultrasonic or EM field source by processing the data of the amplitudes and phases distribution of the scattered field measured in the nearby zone. The numerical experiments were done to reconstruct the objects illuminated by EM and acoustic field using the near scattered field's value calculated by solving the direct scattering problem. In order to check and optimize the above mentioned method for 3-d problems and use it in practice the experimental setup was built that performs illumination of some objects by ultrasonic wave and records the values of the amplitudes and phases of the total (incident plus scattering) field in some nearby area. The investigated object is located in the water tank. The measured signal (amplitude and phase) is converted into digital form and is redirected to PC. The specially developed software processes the automatically recorded data. The processing algorithm is based on the above mentioned wave field visualization method and reconstructs the image of the object.

关键词： Image reconstruction Acoustic scattering data visualization Phase measurement Ultrasonic variables measurement Laboratories Electrodynamics Holography Acoustic measurements Optimization methods

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Parallel rendering techniques for massively parallel visualization

Parallel rendering techniques for massively parallel visuali...

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Aizu international symposium on Parallel Algorithms/Architecture Synthesis

作者： C. Hansen M. Krogh J. Painter Advanced Computing Laboratory Los Alamos National Laboratory Los Alamos NM USA

As the resolution of simulation models increases, scientific visualization algorithms which take advantage of the large memory and parallelism of massively parallel processors (MPPs) are becoming increasingly important. For large applications, rendering on an MPP tends to be preferable to rendering on a graphics workstation, due to the MPP's abundant resources: memory, disk and numerous processors. The challenge is developing algorithms that can exploit these resources while minimizing overheads, typically communication costs. This paper describes recent efforts in parallel rendering for polygonal primitives as well as parallel volumetric techniques. It presents rendering algorithms, developed for MPPs, for polygonal, spherical and volumetric data. The polygon algorithm uses a data-parallel approach, whereas the sphere and volume rendering use a MIMd approach. Implementations for these algorithms are presented for a Thinking Machines Corp. CM-5 and a Cray Research Inc. T3d.

关键词： visualization Rendering (computer graphics) Geometry Concurrent computing Laboratories Parallel processing Graphics Costs Computational modeling Vector processors

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Performance analysis of adaptive modulation for fading channels

Performance analysis of adaptive modulation for fading chann...

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international symposium on Image and Signal processing and Analysis

作者： d. Boulinguez Y. Lacour C. Garnier Y. delignon L. Clavier ISEN/IEMN UMR CNRS 8520 Lille France IEMN UMR CNRS 8520 ISEN Lille Cedex France IEMN UMR CNRS 8520 ENIC Villeneuve d’ Ascq Cedex France

High data rate transmission in an indoor environment is an important issue for the next generation of wireless communications systems. For high data rate links (155 Mbits/s) a large channel around 60 GHz has been allocated world-wide for unlicensed, dense wireless local communications. However this indoor channel is a fading channel and an improved modulation technique is required to obtain such high data rate. In this paper, we propose a comparison of two adaptive modulation techniques based on OFdM. Tests have been realized on simulated channels as well as real indoor channel.

关键词： Performance analysis Fading OFdM modulation Signal processing algorithms Indoor communication Error analysis Frequency division multiplexing Bandwidth Indoor environments System testing

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Airport Runway Conflict detection And Visual Simulation

Airport Runway Conflict Detection And Visual Simulation

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Aerospace Engineering and Systems (ISAES), international symposium on

作者： Tao Song Siyuan Zhang Xiaoyun Shen Siming Yan Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China Technical Support Department Chongqing Sub-bureau of Southwest China Reginal ATMB Chongqing China

ISBN: (数字)9798350350418

ISBN: (纸本)9798350350425

In order to prevent runway intrusion events due to the incorrect deployment of aircraft by controllers with insufficient situational awareness, a 3d visual simulation system for runway conflict detection is designed. By analyzing different types of conflict scenarios of aircraft arrival and departure, the runway conflict models are constructed, and for different conflict models, the spatial distance method is used to determine whether runway incursion of the aircraft occurs. Then the combination of spatial distance and time threshold are used for the conflict alarm. The runway protection area is constructed, the aircraft motion model of the airport surface is established based on the data of airport surveillance data. The visual simulation of the arrival and departure conflict detection algorithm is realized on the Unreal Engine 4 platform. The experimental results show that according to the arrival and departure conflict detection, when aircrafts are close to each other and less than the encounter time threshold, the system can detect the runway conflict in real time and give the alarm.

关键词： visualization Solid modeling Analytical models Three-dimensional displays Atmospheric modeling Airports Aircraft manufacture Aircraft detection algorithms Engines

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Modality-Guided Subnetwork for Salient Object detection

Modality-Guided Subnetwork for Salient Object Detection

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international Conference on 3d Imaging, Modeling, processing, visualization and transmission (3dIMPVT)

作者： Zongwei Wu Guillaume Allibert Christophe Stolz Chao Ma Cédric demonceaux VIBOT EMR CNRS 6000 ImViA Université Bourgogne Franche-Comté France MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University China Université Côte d’Azur CNRS I3S France ImViA Université Bourgogne Franche-Comté France

ISBN: (纸本)9781665426893

Recent RGBd-based models for saliency detection have attracted research attention. The depth clues such as boundary clues, surface normal, shape attribute, etc., contribute to the identification of salient objects with complicated scenarios. However, most RGBd networks require multi-modalities from the input side and feed them separately through a two-stream design, which inevitably results in extra costs on depth sensors and computation. To tackle these inconveniences, we present in this paper a novel fusion design named modality-guided subnetwork (MGSnet). It has the following superior designs: 1) Our model works for both RGB and RGBd data, and dynamically estimates depth if not available. Taking the inner workings of depth-prediction networks into account, we propose to estimate the pseudo-geometry maps from RGB input — essentially mimicking the multi-modality input. 2) Our MGSnet for RGB SOd results in real-time inference but achieves state-of-the-art performance compared to other RGB models. 3) The flexible and lightweight design of MGS facilitates the integration into RGBd two-streaming models. The introduced fusion design enables a cross-modality interaction to enable further progress but with a minimal cost.

关键词： Adaptation models Solid modeling Costs Three-dimensional displays Shape Object detection Transforms

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