Facial Model Improvement Using 3D Texture Mapping Feedback

Facial Model Improvement Using 3D Texture Mapping Feedback PDF Author: Yongjie Liu
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 172

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Facial Model Improvement Using 3D Texture Mapping Feedback

Facial Model Improvement Using 3D Texture Mapping Feedback PDF Author: Yongjie Liu
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 172

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A New Way for Mapping Texture Onto 3D Face Model

A New Way for Mapping Texture Onto 3D Face Model PDF Author: Changsheng Xiang
Publisher:
ISBN:
Category : Digital image correlation
Languages : en
Pages : 75

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Book Description
Adding texture to an object is extremely important for the enhancement of the 3D model's visual realism. This thesis presents a new method for mapping texture onto a 3D face model. The complete architecture of the new method is described. In this thesis, there are two main parts, one is 3D mesh modifying and the other is image processing. In 3D mesh modifying part, we use one face obj file as the 3D mesh file. Based on the coordinates and indices of that file, a 3D face wireframe can be displayed on screen by using OpenGL API. The most common method for mapping texture onto 3D mesh is to do mesh parametrization. To achieve this goal, a perspective-projection method is used to map 3D mesh to a 2D plane. To improve the degree of the accuracy, we separates the 3D mesh into three pieces based on three different view positions from left to right. In image processing part, we extracted the face information from the green background images by using image segmentation. Because of the three face images from different view positions, so they have different light illumination. In this thesis, a button controller was made to control the light illumination of three parts separately. The image blending method was used to reduce the texture seam between two different parts of the mesh.The proposed method in this thesis is new way to add detail to a 3D model. It provides a valid texture mapping, also satisfies the man-machine interaction exactly. Even if the images are taken under the different illumination, users can use keyboard to change its illumination for color matching. This new way provides a new method to parametrize and modify the mesh so as to be used for texture mapping.

Visual Informatics: Sustaining Research and Innovations

Visual Informatics: Sustaining Research and Innovations PDF Author: Halimah Badioze Zaman
Publisher: Springer Science & Business Media
ISBN: 3642251994
Category : Computers
Languages : en
Pages : 449

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Book Description
The two-volume set LNCS 7066 and LNCS 7067 constitutes the proceedings of the Second International Visual Informatics Conference, IVIC 2011, held in Selangor, Malaysia, during November 9-11, 2011. The 71 revised papers presented were carefully reviewed and selected for inclusion in these proceedings. They are organized in topical sections named computer vision and simulation; virtual image processing and engineering; visual computing; and visualisation and social computing. In addition the first volume contains two keynote speeches in full paper length, and one keynote abstract.

Signal Processing for Image Enhancement and Multimedia Processing

Signal Processing for Image Enhancement and Multimedia Processing PDF Author: Ernesto Damiani
Publisher: Springer Science & Business Media
ISBN: 0387725008
Category : Technology & Engineering
Languages : en
Pages : 334

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Book Description
This is an edited volume, written by well-recognized international researchers with extended chapter style versions of the best papers presented at the SITIS 2006 International Conference. This book presents the state-of-the-art and recent research results on the application of advanced signal processing techniques for improving the value of image and video data. It introduces new results on video coding on time-honored topic of securing image information. The book is designed for a professional audience composed of practitioners and researchers in industry. This book is also suitable for advanced-level students in computer science.

Face Detection and Modeling for Recognition

Face Detection and Modeling for Recognition PDF Author: Rein-Lien Hsu
Publisher:
ISBN:
Category : Biometry
Languages : en
Pages : 400

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Book Description
Face recognition has received substantial attention from researchers in biometrics, computer vision, pattern recognition, and cognitive psychology communities because of the increased attention being devoted to security, man-machine communication, content-based image retrieval, and image/video coding. We have proposed two automated recognition paradigms to advance face recognition technology. Three major tasks involved in face recognition systems are: (i) face detection, (ii) face modeling, and (iii) face matching. We have developed a face detection algorithm for color images in the presence of various lighting conditions as well as complex backgrounds. Our detection method first corrects the color bias by a lighting compensation technique that automatically estimates the parameters of reference white for color correction. We overcame the difficulty of detecting the low-luma and high-luma skin tones by applying a nonlinear transformation to the Y CbCr color space. Our method generates face candidates based on the spatial arrangement of detected skin patches. We constructed eye, mouth, and face boundary maps to verify each face candidate. Experimental results demonstrate successful detection of faces with different sizes, color, position, scale, orientation, 3D pose, and expression in several photo collections. 3D human face models augment the appearance-based face recognition approaches to assist face recognition under the illumination and head pose variations. For the two proposed recognition paradigms, we have designed two methods for modeling human faces based on (i) a generic 3D face model and an individual's facial measurements of shape and texture captured in the frontal view, and (ii) alignment of a semantic face graph, derived from a generic 3D face model, onto a frontal face image.

Signal Processing for Multimedia

Signal Processing for Multimedia PDF Author: Jim Byrnes
Publisher: IOS Press
ISBN: 9789051994605
Category : Computers
Languages : en
Pages : 284

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Book Description
Discover success in global business today with the most strategic approach to international business topics and unique coverage not found in other books. Written by renowned international instructor and author Mike Peng, GLOBAL BUSINESS is the first truly global business book to answer the big question, "What determines the success and failure of firms around the globe?" This edition blends both an institutional-based view and resource-based view throughout every chapter for an unparalleled continuity in the learning process. The book combines an inviting, conversational style with the latest research and examples throughout every chapter. A comprehensive set of cases from Mike Peng and other respected international experts examine how companies throughout the world have expanded globally. All-new video cases, world maps, and unique global debate sections help readers view business challenges from a truly global perspective. Available with InfoTrac Student Collections http://gocengage.com/infotrac.

Advances in Visual Computing

Advances in Visual Computing PDF Author: George Bebis
Publisher: Springer
ISBN: 3319278576
Category : Computers
Languages : en
Pages : 942

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Book Description
The two volume set LNCS 9474 and LNCS 9475 constitutes the refereed proceedings of the 11th International Symposium on Visual Computing, ISVC 2015, held in Las Vegas, NV, USA in December 2015. The 115 revised full papers and 35 poster papers presented in this book were carefully reviewed and selected from 260 submissions. The papers are organized in topical sections: Part I (LNCS 9474) comprises computational bioimaging; computer graphics; motion and tracking; segmentation; recognition; visualization; mapping; modeling and surface reconstruction; advancing autonomy for aerial robotics; medical imaging; virtual reality; observing humans; spectral imaging and processing; intelligent transportation systems; visual perception and robotic systems. Part II (LNCS 9475): applications; 3D computer vision; computer graphics; segmentation; biometrics; pattern recognition; recognition; and virtual reality.

Proceedings

Proceedings PDF Author:
Publisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 998

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Book Description


14th International Machine Vision and Image Processing Conference

14th International Machine Vision and Image Processing Conference PDF Author: Marie-Louise O’Connell
Publisher: Cambridge Scholars Publishing
ISBN: 1527550761
Category : Computers
Languages : en
Pages : 345

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Book Description
Established in 1997, the International Machine Vision and Image Processing (IMVIP) conferences bring together theoreticians, practitioners, industrialists and academics, from the numerous related disciplines involved in the processing and analysis of image-based information. These events provide a platform for communication and exchange between participants whereby cutting edge research and advances within the field can be communicated, discussed and information exchanged. IMVIP events are hosted annually by different universities on the island of Ireland. These proceedings reflect the manuscripts selected for oral presentation at the 14th instalment of the series hosted by the University of Limerick, Ireland in 2010 in association with the Irish Pattern Recognition and Classification Society (IPRCS), a member organisation of the International Association of Patten Recognition (IAPR).

Intelligent Scene Modeling and Human-Computer Interaction

Intelligent Scene Modeling and Human-Computer Interaction PDF Author: Nadia Magnenat Thalmann
Publisher: Springer Nature
ISBN: 3030710025
Category : Computers
Languages : en
Pages : 284

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Book Description
This edited book is one of the first to describe how Autonomous Virtual Humans and Social Robots can interact with real people and be aware of the surrounding world using machine learning and AI. It includes: · Many algorithms related to the awareness of the surrounding world such as the recognition of objects, the interpretation of various sources of data provided by cameras, microphones, and wearable sensors · Deep Learning Methods to provide solutions to Visual Attention, Quality Perception, and Visual Material Recognition · How Face Recognition and Speech Synthesis will replace the traditional mouse and keyboard interfaces · Semantic modeling and rendering and shows how these domains play an important role in Virtual and Augmented Reality Applications. Intelligent Scene Modeling and Human-Computer Interaction explains how to understand the composition and build very complex scenes and emphasizes the semantic methods needed to have an intelligent interaction with them. It offers readers a unique opportunity to comprehend the rapid changes and continuous development in the fields of Intelligent Scene Modeling.