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Visual computing is an emerging field that combines computer graphics, computer vision and virtual reality to advance cutting-edge methodologies for the acquisition, processing, manipulation and rendering of visual content. This multidisciplinary program is... Read more
Visual computing is an emerging field that combines computer graphics, computer vision and virtual reality to advance cutting-edge methodologies for the acquisition, processing, manipulation and rendering of visual content. This multidisciplinary program is designed to provide students with the knowledge and technological skills to understand and develop sophisticated problem solutions in innovative-driven industries such as entertainment, medicine, robotics, criminology and security, Computer Aided Design (CAD) or machine vision.
This program enables scientists and engineers in the areas of computer vision and computer graphics (CG) to expand their skills in the application of both traditional and cutting-edge techniques. Topics include computer vision (image representation, filtering, classification, segmentation, feature detection, motion estimation, etc.), CG imaging (light, colors, shading, ray tracing, texture mapping, bump mapping, anti-aliasing, etc.), CG modeling (parametric and implicit curves and surfaces, meshes, point clouds, etc.), CG animation (shape and motion modeling, rigid bodies, deformable objects, fluids, interactive dynamic animations, etc.). The program also covers visual computing mathematics (e.g. discrete and continuous differential geometry of curves and surfaces and geometry processing on meshes), deep learning for computer vision (e.g. using machine learning for object detection and recognition, convolutional neural networks, recurrent neural networks, supervised and unsupervised learning, and deep neural generative models for 3D geometry), and interactive CG (e.g. virtual objects, images, worlds, and environments, immersive vs non-immersive VR, 3D interface design).
Visual computing is an emerging field that combines computer graphics, computer vision and virtual reality to advance cutting-edge methodologies for the acquisition, processing, manipulation and rendering of visual content. This multidisciplinary program is... Read more
Visual computing is an emerging field that combines computer graphics, computer vision and virtual reality to advance cutting-edge methodologies for the acquisition, processing, manipulation and rendering of visual content. This multidisciplinary program is designed to provide students with the knowledge and technological skills to understand and develop sophisticated problem solutions in innovative-driven industries such as entertainment, medicine, robotics, criminology and security, Computer Aided Design (CAD) or machine vision.
This program enables scientists and engineers in the areas of computer vision and computer graphics (CG) to expand their skills in the application of both traditional and cutting-edge techniques. Topics include computer vision (image representation, filtering, classification, segmentation, feature detection, motion estimation, etc.), CG imaging (light, colors, shading, ray tracing, texture mapping, bump mapping, anti-aliasing, etc.), CG modeling (parametric and implicit curves and surfaces, meshes, point clouds, etc.), CG animation (shape and motion modeling, rigid bodies, deformable objects, fluids, interactive dynamic animations, etc.). The program also covers visual computing mathematics (e.g. discrete and continuous differential geometry of curves and surfaces and geometry processing on meshes), deep learning for computer vision (e.g. using machine learning for object detection and recognition, convolutional neural networks, recurrent neural networks, supervised and unsupervised learning, and deep neural generative models for 3D geometry), and interactive CG (e.g. virtual objects, images, worlds, and environments, immersive vs non-immersive VR, 3D interface design).
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Visual Computing
KFUPM Main Campus, Dhahran, Saudi Arabia
# =84QS Subject Rankings
24 monthsProgram duration
MathematicsMain Subject Area
Program overview
Main Subject
Mathematics
Degree
MSci
Study Level
Masters
Study Mode
Blended
Visual computing is an emerging field that combines computer graphics, computer vision and virtual reality to advance cutting-edge methodologies for the acquisition, processing, manipulation and rendering of visual content. This multidisciplinary program is...
Read more
Visual computing is an emerging field that combines computer graphics, computer vision and virtual reality to advance cutting-edge methodologies for the acquisition, processing, manipulation and rendering of visual content. This multidisciplinary program is designed to provide students with the knowledge and technological skills to understand and develop sophisticated problem solutions in innovative-driven industries such as entertainment, medicine, robotics, criminology and security, Computer Aided Design (CAD) or machine vision.
This program enables scientists and engineers in the areas of computer vision and computer graphics (CG) to expand their skills in the application of both traditional and cutting-edge techniques. Topics include computer vision (image representation, filtering, classification, segmentation, feature detection, motion estimation, etc.), CG imaging (light, colors, shading, ray tracing, texture mapping, bump mapping, anti-aliasing, etc.), CG modeling (parametric and implicit curves and surfaces, meshes, point clouds, etc.), CG animation (shape and motion modeling, rigid bodies, deformable objects, fluids, interactive dynamic animations, etc.). The program also covers visual computing mathematics (e.g. discrete and continuous differential geometry of curves and surfaces and geometry processing on meshes), deep learning for computer vision (e.g. using machine learning for object detection and recognition, convolutional neural networks, recurrent neural networks, supervised and unsupervised learning, and deep neural generative models for 3D geometry), and interactive CG (e.g. virtual objects, images, worlds, and environments, immersive vs non-immersive VR, 3D interface design).
Read lessProgram overview
Main Subject
Mathematics
Degree
MSci
Study Level
Masters
Study Mode
Blended
Visual computing is an emerging field that combines computer graphics, computer vision and virtual reality to advance cutting-edge methodologies for the acquisition, processing, manipulation and rendering of visual content. This multidisciplinary program is...
Read more
Visual computing is an emerging field that combines computer graphics, computer vision and virtual reality to advance cutting-edge methodologies for the acquisition, processing, manipulation and rendering of visual content. This multidisciplinary program is designed to provide students with the knowledge and technological skills to understand and develop sophisticated problem solutions in innovative-driven industries such as entertainment, medicine, robotics, criminology and security, Computer Aided Design (CAD) or machine vision.
This program enables scientists and engineers in the areas of computer vision and computer graphics (CG) to expand their skills in the application of both traditional and cutting-edge techniques. Topics include computer vision (image representation, filtering, classification, segmentation, feature detection, motion estimation, etc.), CG imaging (light, colors, shading, ray tracing, texture mapping, bump mapping, anti-aliasing, etc.), CG modeling (parametric and implicit curves and surfaces, meshes, point clouds, etc.), CG animation (shape and motion modeling, rigid bodies, deformable objects, fluids, interactive dynamic animations, etc.). The program also covers visual computing mathematics (e.g. discrete and continuous differential geometry of curves and surfaces and geometry processing on meshes), deep learning for computer vision (e.g. using machine learning for object detection and recognition, convolutional neural networks, recurrent neural networks, supervised and unsupervised learning, and deep neural generative models for 3D geometry), and interactive CG (e.g. virtual objects, images, worlds, and environments, immersive vs non-immersive VR, 3D interface design).
Read lessAdmission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
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QS subject rankings
Subject: Mathematics
Ranking criteria
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