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modeling specular reflectance and polarization in dART model for simulating remote sensing images of natural and urban landscapes

Modeling specular reflectance and polarization in DART model...

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international conference on Advanced Technologies for Signal and Image Processing (ATSIP)

作者： J. P. Gastellu-Etchegorry N. Lauret T. Yin J. Aval A. Kallel L. Landier A. Al Bitar J. Guilleux C. Jan E. Chavanon Universite Federale Toulouse Midi-Pyrenees Toulouse Occitanie FR CRNS-ATMS Ons City Sfax Tunisia 3021

ISBN: (纸本)9781467385275

The need of better accuracy to analyze remote sensing (RS) data and radiative budget (RB) of Earth surfaces explains the demand of physical models of RS and RB data. dART (discrete Anisotropic Radiative Transfer) model is probably the most comprehensive three-dimensional (3d) physical model. Indeed, with original ray tracking and Monte Carlo methods for tracking radiation in the Earth and atmosphere from visible to thermal infrared wavelengths, it simulates the 3d RB and acquisitions of terrain / RS imaging radiometers and laser scanners, for any urban / natural landscape and any experimental / instrumental configuration. Paul Sabatier delivers free licenses for research and teaching activities. After introducing dART theory, we present recent advances: simulation of LidAR and airborne sensors, and modeling of specular interaction and polarization.

关键词： Atmospheric modeling Terrestrial atmosphere Sensors Three-dimensional displays Laser radar Earth Vegetation

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InstantAvatar: Efficient 3d Head Reconstruction via Surface Rendering

InstantAvatar: Efficient 3D Head Reconstruction via Surface ...

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international conference on 3d imaging, modeling, Processing, Visualization and Transmission (3dIMPVT)

作者： Antonio Canela Pol Caselles Ibrar Malik Eduard Ramon Jaime García Jordi Sànchez-Riera Gil Triginer Francesc Moreno-Noguer Crisalix Labs Universitat Politècnica de Catalunya Institut de Robòtica i Informàtica Industrial CSIC-UPC

ISBN: (数字)9798350362459

ISBN: (纸本)9798350362466

recent advances in full-head reconstruction have been obtained by optimizing a neural field through differentiable surface or volume rendering to represent a single scene. While these techniques achieve an unprecedented accuracy, they take several minutes, or even hours, due to the expensive optimization process required. In this work, we introduce InstantAvatar, a method that recovers full-head avatars from few images (down to just one) in a few seconds on commodity hardware. In order to speed up the reconstruction process, we propose a system that combines, for the first time, a voxel-grid neural field representation with a surface renderer. Notably, a naive combination of these two techniques leads to unstable optimizations that do not converge to valid solutions. In order to overcome this limitation, we present a novel statistical model that learns a prior distribution over 3d head signed distance functions using a voxel-grid based architecture. The use of this prior model, in combination with other design choices, results into a system that achieves 3d head reconstructions with comparable accuracy as the state-of-the-art with a 100 $\times$ speed-up.

关键词： Geometry Surface reconstruction Solid modeling Three-dimensional displays Head Avatars Rendering (computer graphics)

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Associate Model of Methods Used for Restoration / Conservation Resources

Associate Model of Methods Used for Restoration / Conservati...

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international conference on developments in eSystems Engineering (dESE)

作者： dragos Ene Roxana Radvan National Institute for Research and Development for Optoelectronics Magurele Romania

Restoration and conservation interventions are progressively more and more dependent upon benefits of newly developed techniques. Works carried out within the scopes of several restoration projects had evaluated such techniques based on, for examples 3d laser scanning, multispectral imaging or pigments identification by LIFS of LIBS etc and reported in open literatures in recent time. In order to simplify the present work we propose an internet web-tool, a 3d digital model with imagistic information mapped on the surface. Two texturing algorithms are presented; a first algorithm is based on projection principles, and a second one, a parametric projection. The 3d available representations will be chosen by a dropdown menu, with the possibility of choice of one or even more models to be shown. This will allow a comparison between the complementary data obtained by specified techniques, and with advantages offered by the 3d visualization, including 3d controls.

关键词： Three dimensional displays Solid modeling data models Laser modes Painting Internet Instruments

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Physical aspects of ultrasound hyperthermia of the chest wall

Physical aspects of ultrasound hyperthermia of the chest wal...

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Annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： E.G. Moros Radiation Oncology Center Mallinckrodt Institute of Radiology Washington University School of Medicine Saint Louis MO USA

recent advances in the development of clinical ultrasound hyperthermia systems to treat superficially located cancerous volumes are presented, with emphasis on the treatment of tissues at high risk or with microscopic cancer, and of recurrent/persistent breast carcinoma on the chest wall. recent advances in microwaves based systems are also discussed for comparison. In recent years the demand has been for specialized systems, site and disease specific, with a high degree of dynamic power deposition control. A system under development at our institution to allow the simultaneous or sequential delivery of ultrasound hyperthermia and external photon/electron beam radiation is described in detail. The optimization of the system design and key physical parameters to achieve controlled heating in highly acoustically, thermally and physiologically heterogeneous tissues are presented while highlighting the engineering challenges encountered. Both laboratory and numerical modeling data are presented. The major advances achieved are delineated and future R&d efforts proposed.

关键词： Ultrasonic imaging Hyperthermia Control systems Microscopy Cancer Breast Electromagnetic heating diseases Electron beams design optimization

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RIVQ-VAE: discrete Rotation-Invariant 3d Representation Learning

RIVQ-VAE: Discrete Rotation-Invariant 3D Representation Lear...

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international conference on 3d imaging, modeling, Processing, Visualization and Transmission (3dIMPVT)

作者： Mariem Mezghanni Malika Boulkenafed Maks Ovsjanikov LIX Ecole Polytechnique IP Paris

ISBN: (数字)9798350362459

ISBN: (纸本)9798350362466

Building local surface representations has recently attracted significant attention in 3d vision, allowing to structure complex 3d shapes as sequences of simpler local geometries. Inspired by advances in 2d discrete representation learning, recent approaches have proposed to break up 3d shapes into regular grids, where each cell is associated with a discrete code sampled from a learnable codebook. Unfortunately, existing methods ignore both the local rigid self-similarities as well as the ambiguities inherent to 3d geometry related to possible changes in orientation. As a result, such techniques require very large codebooks to capture all possible variability in both geometry and pose. In this work, we propose a novel generative model that improves the generation quality by compactly embedding local geometries in a rotation- and translation-invariant manner. This strategy allows our codebook of discrete codes to express a larger range of geometric structures by avoiding local and global redundancies. Crucially, we demonstrate via a careful architecture design that our approach allows to recover meaningful shapes from local embeddings, while ensuring global consistency. The conducted experiments show that our approach outperforms baseline methods by a large margin under similar settings.

关键词： Geometry Representation learning Surface reconstruction Three-dimensional displays Codes Shape Computer architecture

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Computational Models In Image Guided Interventions

Computational Models In Image Guided Interventions

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Annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： d.J. Hawkes d. Barratt J.M. Blackall A.G. Chandler J. McClelland G.P. Penney Director of the Centre for Medical Image Computing University College London London UK Centre for Medical Image Computing

In image-guided surgery and image-directed therapy a plan based on pre-procedure imaging is registered to the patient in the operating or treatment room using a 3d spatial localizer. The plan can be used as long as the transformation between plan and patient remains valid. Most systems use a rigid-body transformation restricting guidance to bony structures (e.g. orthopaedic surgery or maxillo-facial surgery) or structures that are rigidly related to bone (e.g. neurosurgery). Fully 3d intra-operative imaging such as interventional MR allows image guidance to be extended to structures that move or deform during an intervention. However, this technology is expensive, interferes significantly with standard surgical protocols and requires computationally expensive non-rigid registration of the plan to the current patient scan. This talk will describe four examples where computational models of motion and anatomy are combined with 2d intra-operative imaging to extend the scope of image directed methods. In the first, image guided neurosurgery, we show how intra-operative imaging may account for distortion caused by the intervention itself. In two further applications - percutaneous ablation of metastatic liver disease and external beam radiotherapy of the lung - we show how computational models of motion might be used in conjunction with a therapy plan to guide the intervention. In the final example, selected from orthopaedic surgery, we show recent advances that demonstrate how a statistical shape model generated from example 3d images, can be used to provide image guidance without any pre-operative 3d imaging

关键词： Computational modeling Orthopedic surgery Medical treatment Neurosurgery Bones Protocols Anatomy Metastasis Liver diseases Lungs

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A 200 mW 3.3 V CMOS color camera IC producing 352/spl times/288 24 b video at 30 frames/s

A 200 mW 3.3 V CMOS color camera IC producing 352/spl times/...

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IEEE international conference on Solid-State Circuits (ISSCC)

作者： M. Loinaz K. Singh A. Blanksby d. Inglis K. Azadet B. Ackland Bell Laboratories Lucent Technologies Inc. Holmdel NJ USA University of Adelaide Australia

recent advances in CMOS imaging technology enable the creation of single-chip digital cameras that offer system designers fully-digital interfaces, reduced part counts, and low-power dissipation. A PC-based camera system is described using a single-chip camera. The chip produces digital video data that is fed to the host over a standard interface. The host adjusts operation of the camera by setting frame rate, exposure time, analog gains, and color processing coefficients. Frame-rate functions, such as exposure control and white balance algorithms, are in software on the host, while pixel-rate tasks requiring intensive computation, such as color interpolation, color correction, and calculation of image statistics are in hardware on the camera chip.

关键词： CMOS image sensors CMOS integrated circuits Color CMOS technology digital cameras Software algorithms Pixel Interpolation Statistics Hardware

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Why To Model Remote Sensing Measurements In 3d? recent advances In dart: Atmosphere, Topography, Large Landscape, Chlorophyll Fluorescence And Satellite Image Inversion

Why To Model Remote Sensing Measurements In 3d? Recent Advan...

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international conference on Advanced Technologies for Signal and Image Processing (ATSIP)

作者： J.P. Gastellu-Etchegorry Y. Wang O. Regaieg T. Yin Z. Malenovsky Z. Zhen X. Yang Z. Tao L. Landier A. Al Bitar deschamps N. Lauret J. Guilleux E. Chavanon B. Cao J. Qi A. Kallel Z. Mitraka N. Chrysoulakis B. Cook d. Morton Université de Toulouse CESBIO - UPS CNES CNRS IRD Toulouse France Earth System Science Interdisciplinary Center University of Maryland College Park MD 20740-3823 USA School of Technology Environments and Design University of Tasmania Hobart Australia College of Geo-Exploration Science and Technology Jilin University Changchun China Chinese Academy of Sciences Institute of Remote Sensing and Digital Earth Beijing China Key Laboratory of Geographical Information Science East China Normal University Shanghai China CNES 18 Av. Belin Toulouse France Beijing Forestry University Beijing China CRNS ATMS Sfax Tunisia Foundation for Research and Technology Hellas (FORTH) Heraklion Greece NASA Goddard Space Flight Center Greenbelt USA

ISBN: (数字)9781728175133

ISBN: (纸本)9781728175140

Remote sensing (RS) dedicated to the study of land surfaces benefits from more and more advanced sensors. However, the interpretation of RS data is often is often inaccurate due to the complexity of the observed land surfaces. Therefore, RS models, in particular physical models, that simulate RS observations of the three-dimensional (3d) landscapes are critical to correctly interpret RS data. dART is one of the most comprehensive 3d models of Earthatmosphere optical radiative transfer (RT), from ultraviolet (UV) to thermal infrared (TIR). It simulates the optical signal of proximal, aerial and satellite imaging spectrometers and laser scanners, the 3d RB and solar-induced chlorophyll fluorescence (SIF) signal, for any urban or natural landscape and any experimental or instrument configuration. It is freely available for research and teaching activities (***). After illustrating three significant sources of inaccuracy in RS interpretation, five recent dART advances are presented: RT in the atmosphere and topography, fast RS image simulation of large landscapes, SIF modelling, and satellite image inversion.

关键词： Atmospheric modeling Three-dimensional displays Reflectivity Surface topography Sun Forestry Solid modeling

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deep Learning Based Sinhala Optical Character Recognition (OCR)

Deep Learning Based Sinhala Optical Character Recognition (O...

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international conference on advances in ICT for Emerging Regions

作者： Isuri Anuradha Chamila Liyanage Harsha Wijayawardhana Ruvan Weerasinghe Language Technology Research Laboratory University of Colombo School of Computing Colombo Sri Lanka Theekshana R&D Company Colombo Sri Lanka

ISBN: (数字)9781728186559

ISBN: (纸本)9781728186566

With the advancement of computer technology during the last few years, researchers have integrated machine learning and deep learning techniques to analyse the textual representations on digital documents. As a result of that, people have tended to integrate Optical Character Recognition (OCR) technology to recognize printed texts into machine operable text for different character sets. Sinhala as an abugida script has its own writing system which is used to write Sinhala and Pali languages. With the complexities of the Sinhala script, it makes hard to develop an OCR system. When considering recent literature, most research groups try to reduce the complex nature of the Sinhala script with the support of computer science and Neural networks [1] , [2] . Tesseract is an open-source, deep-learning based OCR engine developed by Google [3] . despite decades of research on the engineering aspects, our attempt was taken to improve the accuracy of Sinhala character recognition using deep learning mechanisms.

关键词： Optical character recognition software Character recognition Engines Optical imaging Integrated optics deep learning Linguistics

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Global Context Aware Convolutions for 3d Point Cloud Understanding

Global Context Aware Convolutions for 3D Point Cloud Underst...

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international conference on 3d imaging, modeling, Processing, Visualization and Transmission (3dIMPVT)

作者： Zhiyuan Zhang Binh-Son Hua Wei Chen Yibin Tian Sai-Kit Yeung Litemaze Technology VinAI Research Vietnam VinUniversity Vietnam Hong Kong University of Science and Technology

ISBN: (数字)9781728181288

ISBN: (纸本)9781728181295

recent advances in deep learning for 3d point clouds have shown great promises in scene understanding tasks thanks to the introduction of convolution operators to consume 3d point clouds directly in a neural network. Point cloud data, however, could have arbitrary rotations, especially those acquired from 3d scanning. recent works show that it is possible to design point cloud convolutions with rotation invariance property, but such methods generally do not perform as well as translation-invariant only convolution. We found that a key reason is that compared to point coordinates, rotation-invariant features consumed by point cloud convolution are not as distinctive. To address this problem, we propose a novel convolution operator that enhances feature distinction by integrating global context information from the input point cloud to the convolution. To this end, a globally weighted local reference frame is constructed in each point neighborhood in which the local point set is decomposed into bins. Anchor points are generated in each bin to represent global shape features. A convolution can then be performed to transform the points and anchor features into final rotation-invariant features. We conduct several experiments on point cloud classification, part segmentation, shape retrieval, and normals estimation to evaluate our convolution, which achieves state-of-the-art accuracy under challenging rotations.

关键词： Three-dimensional displays deep learning Task analysis Training Shape Neural networks Feature extraction

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