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James Huang
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THIS PRESENTATION IS AN INTRODUCTORY APPROACH TO IMAGE SEGMENTATION.IT INCLUDES ITS APPLICATION,TECHNIQUES,ETC.
IMAGE SEGMENTATION.
IMAGE SEGMENTATION.
Tawose Olamide Timothy
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Volume 11, Issue 1, Ver. II (Jan. - Feb .2016)
E011122530
E011122530
IOSR Journals
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The research study develops a production framework for the combination of high dynamic range imaging (HDRI) and spherical panorama. Spherical panorama imagery in digital can virtually provide interactive and wider viewing coverage to the viewers however exposure range can be a major difficulty for reproducing sufficient luminance from the high contrast real-world scene. Imaging variables caused by obstacles and issues can occur during the production process when producing spherical panorama facilitated with HDRI resulting inaccurate image reproduction of the location-based subject. Towards lean approach in the possible ideal situation, production processes and imaging variables can be reduced to minimal as for the occurrence of technical obstacles and issues, hence leading to possible improved photographic image reproduction with least visual abnormalities. The research takes architectural context as case study subject of location-based content for data collection and analysis conducted during the production framework development.
Virtual Reality (VR360): Production Framework for the Combination of High Dyn...
Virtual Reality (VR360): Production Framework for the Combination of High Dyn...
Zi Siang See
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A tutorial on shadow algorithms at GTEC 2001 Hong-Kong.
Advanced Lighting for Interactive Applications
Advanced Lighting for Interactive Applications
stefan_b
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An application of Digital Signal Processing
Digital Image Processing
Digital Image Processing
Reshma KC
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Lecture 8 from a course on Mobile Based Augmented Reality Development taught by Mark Billinghurst and Zi Siang See on November 29th and 30th 2015 at Johor Bahru in Malaysia. This lecture describes how to develop AR panoramas for mobile devices. Look for the other 9 lectures in the course.
Mobile AR Lecture 8 - AR Panoramas
Mobile AR Lecture 8 - AR Panoramas
Mark Billinghurst
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3D Generalization Lenses (IV 2008)
3D Generalization Lenses (IV 2008)
Matthias Trapp
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Blind deconvolution refers to the process of recovering the original image from the blurred image when the blur kernel is unknown. This is an ill-posed problem which requires regularization to solve. The naive MAP approach for solving the blind deconvolution problem was found to favour no-blur solution which in turn led to its failure. It is noted that the success of the further developed successful MAP based deblurring methods is due to the intermediate steps in between, which produces an image containing only salient image structures. This intermediate image is essentially called the unnatural representation of the image. L0 sparse expression can be used as the regularization term to effectively develop an efficient optimization method that generates unnatural representation of an image for kernel estimation. Further, the standard deblurring methods are affected by the presence of image noise. A directional filter incorporated as an initial step to the deblurring process makes the method efficient to be used for blurry as well as noisy images. Directional filtering along with L0 sparse regularization gives a good kernel estimate in spite of the image being noisy. In the final image restoration step, a method to give a better result with lesser artifacts is incorporated. Experimental results show that the proposed method recovers a good quality image from a blurry and noisy image.
Image Deblurring using L0 Sparse and Directional Filters
Image Deblurring using L0 Sparse and Directional Filters
CSCJournals
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This is about Image segmenting.We will be using fuzzy logic & wavelet transformation for segmenting it.Fuzzy logic shall be used because of the inconsistencies that may occur during segementing or
Image segmentation using wvlt trnsfrmtn and fuzzy logic. ppt
Image segmentation using wvlt trnsfrmtn and fuzzy logic. ppt
RCC Institute of Information Technology
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PhD defense
Shadow Techniques for Real-Time and Interactive Applications
Shadow Techniques for Real-Time and Interactive Applications
stefan_b
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Ăhnlich wie UIUC CS 498 - Computational Photography - Final project presentation
(20)
Defocus magnification
Defocus magnification
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Digital Holography
Digital Holography
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Relief: A Modeling By Drawing Tool
Relief: A Modeling By Drawing Tool
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study Coded Aperture
study Coded Aperture
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Real-Time Volumetric Tests (EG 2008)
Real-Time Volumetric Tests (EG 2008)
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Focused Image Creation Algorithms for digital holography
Focused Image Creation Algorithms for digital holography
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Computer Graphics Unit 5 notes for Manonmanium Sundaranar University
Computer Graphics Unit 5 notes for Manonmanium Sundaranar University
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Multi Aperture Photography
Multi Aperture Photography
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Augmented Reality Using High Fidelity Spherical Panorama with HDRI
Augmented Reality Using High Fidelity Spherical Panorama with HDRI
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An image based disdrometer verification and raindrop analysis
An image based disdrometer verification and raindrop analysis
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IMAGE SEGMENTATION.
IMAGE SEGMENTATION.
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E011122530
E011122530
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Virtual Reality (VR360): Production Framework for the Combination of High Dyn...
Virtual Reality (VR360): Production Framework for the Combination of High Dyn...
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Advanced Lighting for Interactive Applications
Advanced Lighting for Interactive Applications
Â
Digital Image Processing
Digital Image Processing
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Mobile AR Lecture 8 - AR Panoramas
Mobile AR Lecture 8 - AR Panoramas
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3D Generalization Lenses (IV 2008)
3D Generalization Lenses (IV 2008)
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Image Deblurring using L0 Sparse and Directional Filters
Image Deblurring using L0 Sparse and Directional Filters
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Image segmentation using wvlt trnsfrmtn and fuzzy logic. ppt
Image segmentation using wvlt trnsfrmtn and fuzzy logic. ppt
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Shadow Techniques for Real-Time and Interactive Applications
Shadow Techniques for Real-Time and Interactive Applications
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Mehr von Jia-Bin Huang
General tips on organizing paper contents, preparing figures and tables, and writing.
How to write a clear paper
How to write a clear paper
Jia-Bin Huang
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Here is my updated CV using the ModernCV template (http://www.latextemplates.com/template/moderncv-cv-and-cover-letter). You can find the Tex source file in (https://dl.dropbox.com/u/2810224/Homepage/resume/modern%20style.rar)
Jia-Bin Huang's Curriculum Vitae
Jia-Bin Huang's Curriculum Vitae
Jia-Bin Huang
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Face Expression Enhancement
Face Expression Enhancement
Jia-Bin Huang
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Image Smoothing for Structure Extraction
Image Smoothing for Structure Extraction
Jia-Bin Huang
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Demo: http://www.youtube.com/watch?v=csA8XWcaA9s Code: https://github.com/fferen/KUtils
Static and Dynamic Hand Gesture Recognition
Static and Dynamic Hand Gesture Recognition
Jia-Bin Huang
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Real-Time Face Detection, Tracking, and Attributes Recognition
Real-Time Face Detection, Tracking, and Attributes Recognition
Jia-Bin Huang
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We address the problem of recovering 3D human pose from single 2D images, in which the pose estimation problem is formulated as a direct nonlinear regression from image observation to 3D joint positions. One key issue that has not been addressed in the literature is how to estimate 3D pose when humans in the scenes are partially or heavily occluded. When occlusions occur, features extracted from image observations (e.g., silhouettes-based shape features, histogram of oriented gradient, etc.) are seriously corrupted, and consequently the regressor (trained on un-occluded images) is unable to estimate pose states correctly. In this paper, we present a method that is capable of handling occlusions using sparse signal representations, in which each test sample is represented as a compact linear combination of training samples. The sparsest solution can then be efficiently obtained by solving a convex optimization problem with certain norms (such as l1-norm). The corrupted test image can be recovered with a sparse linear combination of un-occluded training images which can then be used for estimating human pose correctly (as if no occlusions exist). We also show that the proposed approach implicitly performs relevant feature selection with un-occluded test images. Experimental results on synthetic and real data sets bear out our theory that with sparse representation 3D human pose can be robustly estimated when humans are partially or heavily occluded in the scenes.
Estimating Human Pose from Occluded Images (ACCV 2009)
Estimating Human Pose from Occluded Images (ACCV 2009)
Jia-Bin Huang
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Information Preserving Color Transformation for Protanopia and Deuteranopia (...
Information Preserving Color Transformation for Protanopia and Deuteranopia (...
Jia-Bin Huang
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Enhancing Color Representation for the Color Vision Impaired (CVAVI 2008)
Enhancing Color Representation for the Color Vision Impaired (CVAVI 2008)
Jia-Bin Huang
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Learning Moving Cast Shadows for Foreground Detection (VS 2008)
Learning Moving Cast Shadows for Foreground Detection (VS 2008)
Jia-Bin Huang
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A Physical Approach to Moving Cast Shadow Detection (ICASSP 2009)
A Physical Approach to Moving Cast Shadow Detection (ICASSP 2009)
Jia-Bin Huang
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Mehr von Jia-Bin Huang
(11)
How to write a clear paper
How to write a clear paper
Â
Jia-Bin Huang's Curriculum Vitae
Jia-Bin Huang's Curriculum Vitae
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Face Expression Enhancement
Face Expression Enhancement
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Image Smoothing for Structure Extraction
Image Smoothing for Structure Extraction
Â
Static and Dynamic Hand Gesture Recognition
Static and Dynamic Hand Gesture Recognition
Â
Real-Time Face Detection, Tracking, and Attributes Recognition
Real-Time Face Detection, Tracking, and Attributes Recognition
Â
Estimating Human Pose from Occluded Images (ACCV 2009)
Estimating Human Pose from Occluded Images (ACCV 2009)
Â
Information Preserving Color Transformation for Protanopia and Deuteranopia (...
Information Preserving Color Transformation for Protanopia and Deuteranopia (...
Â
Enhancing Color Representation for the Color Vision Impaired (CVAVI 2008)
Enhancing Color Representation for the Color Vision Impaired (CVAVI 2008)
Â
Learning Moving Cast Shadows for Foreground Detection (VS 2008)
Learning Moving Cast Shadows for Foreground Detection (VS 2008)
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A Physical Approach to Moving Cast Shadow Detection (ICASSP 2009)
A Physical Approach to Moving Cast Shadow Detection (ICASSP 2009)
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KĂŒrzlich hochgeladen
Introduction: A seasoned architect with a proven track record of delivering exceptional architectural solutions on projects valued at 3.3 billion Saudi Riyals. With a passion for design innovation, meticulous attention to detail, and a commitment to excellence, I bring a wealth of expertise to every project I undertake. Key Skills and Expertise: Project Management: Proficient in overseeing architectural projects from conception to completion, ensuring adherence to timelines, budgets, and quality standards. Design Excellence: Demonstrated ability to create captivating and functional architectural designs that reflect both aesthetic beauty and practicality. Skilled in utilizing cutting-edge design software and technology to bring concepts to life. Collaborative Approach: Experienced in collaborating with multidisciplinary teams, including engineers, contractors, and clients, to develop integrated design solutions that meet the unique requirements of each project. Regulatory Compliance: Well-versed in local building codes, regulations, and zoning laws, adept at navigating regulatory frameworks to ensure compliance and obtain necessary approvals. Client Relationship Management: Strong interpersonal and communication skills, with a proven ability to build and maintain positive relationships with clients, stakeholders, and project partners. Dedicated to understanding client needs and delivering solutions that exceed expectations. Professional Development: Continuously invest in professional development and staying abreast of industry trends, emerging technologies, and best practices in architecture and design. Regularly attend workshops, seminars, and conferences to expand knowledge and skills. Notable Achievements: Led the design and development of 10 major construction project and 18 Facades project with a total value of 3.3 billion Saudi Riyals, showcasing exceptional creativity and technical expertise. Successfully managed complex architectural projects, including facades projects, achieving key milestones while maintaining a high level of quality and client satisfaction. Received accolades for innovative design solutions, contributing to the enhancement of urban landscapes and the creation of landmark structures that enrich communities. Conclusion: With a proven ability to deliver outstanding architectural solutions on projects valued at 3.3 billion Saudi Riyals, I am committed to pushing the boundaries of design excellence and making a lasting impact in the field of architecture. I am eager to leverage my expertise and passion for innovation to contribute to future projects and drive success for clients and stakeholders.
architect Hassan Khalil portfolio Year 2024
architect Hassan Khalil portfolio Year 2024
hassan khalil
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UIUC CS 498 - Computational Photography - Final project presentation
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Computational Photography -Final
Project- Miniature Photography Jia-Bin Huang [email_address]
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