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You're reading from  3D Deep Learning with Python

Product typeBook
Published inOct 2022
PublisherPackt
ISBN-139781803247823
Edition1st Edition
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Authors (3):
Xudong Ma
Xudong Ma
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Xudong Ma

Xudong Ma is a Staff Machine Learning engineer with Grabango Inc. at Berkeley California. He was a Senior Machine Learning Engineer at Facebook(Meta) Oculus and worked closely with the 3D PyTorch Team on 3D facial tracking projects. He has many years of experience working on computer vision, machine learning and deep learning. He holds a Ph.D. in Electrical and Computer Engineering.
Read more about Xudong Ma

Vishakh Hegde
Vishakh Hegde
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Vishakh Hegde

Vishakh Hegde is a Machine Learning and Computer Vision researcher. He has over 7 years of experience in this field during which he has authored multiple well cited research papers and published patents. He holds a masters from Stanford University specializing in applied mathematics and machine learning, and a BS and MS in Physics from IIT Madras. He previously worked at Schlumberger and Matroid. He is a Senior Applied Scientist at Ambient.ai, where he helped build their weapon detection system which is deployed at several Global Fortune 500 companies. He is now leveraging his expertise and passion to solve business challenges to build a technology startup in Silicon Valley. You can learn more about him on his personal website.
Read more about Vishakh Hegde

Lilit Yolyan
Lilit Yolyan
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Lilit Yolyan

Lilit Yolyan is a machine learning researcher working on her Ph.D. at YSU. Her research focuses on building computer vision solutions for smart cities using remote sensing data. She has 5 years of experience in the field of computer vision and has worked on a complex driver safety solution to be deployed by many well-known car manufacturing companies.
Read more about Lilit Yolyan

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Exploring the basic concepts of rendering, rasterization, and shading

Rendering is a process that takes 3D data models of the world around our camera as input and output images. It is an approximation to the physical process where images are formed in our camera in the real world. Typically, the 3D data models are meshes. In this case, rendering is usually done using ray tracing:

Figure 2.1: Rendering by ray tracing (rays are generated from camera origins and go through the image pixels for finding relevant mesh faces)

An example of ray tracing processing is shown in Figure 2.1. In the example, the world model contains one 3D sphere, which is represented by a mesh model. To form the image of the 3D sphere, for each image pixel, we generate one ray, starting from the camera origin and going through the image pixel. If one ray intersects with one mesh face, then we know the mesh face can project its color to the image pixel. We also need to trace the depth of...

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3D Deep Learning with Python
Published in: Oct 2022Publisher: PacktISBN-13: 9781803247823

Authors (3)

author image
Xudong Ma

Xudong Ma is a Staff Machine Learning engineer with Grabango Inc. at Berkeley California. He was a Senior Machine Learning Engineer at Facebook(Meta) Oculus and worked closely with the 3D PyTorch Team on 3D facial tracking projects. He has many years of experience working on computer vision, machine learning and deep learning. He holds a Ph.D. in Electrical and Computer Engineering.
Read more about Xudong Ma

author image
Vishakh Hegde

Vishakh Hegde is a Machine Learning and Computer Vision researcher. He has over 7 years of experience in this field during which he has authored multiple well cited research papers and published patents. He holds a masters from Stanford University specializing in applied mathematics and machine learning, and a BS and MS in Physics from IIT Madras. He previously worked at Schlumberger and Matroid. He is a Senior Applied Scientist at Ambient.ai, where he helped build their weapon detection system which is deployed at several Global Fortune 500 companies. He is now leveraging his expertise and passion to solve business challenges to build a technology startup in Silicon Valley. You can learn more about him on his personal website.
Read more about Vishakh Hegde

author image
Lilit Yolyan

Lilit Yolyan is a machine learning researcher working on her Ph.D. at YSU. Her research focuses on building computer vision solutions for smart cities using remote sensing data. She has 5 years of experience in the field of computer vision and has worked on a complex driver safety solution to be deployed by many well-known car manufacturing companies.
Read more about Lilit Yolyan