3D Computer Vision and Image Processing
( 25 Modules )

Module #1
Introduction to 3D Computer Vision
Overview of 3D computer vision, its applications, and importance

Module #2
Basics of Image Processing
Fundamentals of image processing, including image representation, filtering, and transforms

Module #3
Image Acquisition and Sensors
Types of image sensors, camera models, and image acquisition techniques

Module #4
Geometry and 3D Point Clouds
Introduction to 3D point clouds, 3D geometry, and coordinate systems

Module #5
Feature Extraction and Description
Methods for extracting and describing features from 2D and 3D data

Module #6
3D Reconstruction from 2D Images
Techniques for reconstructing 3D scenes from 2D images, including stereo vision and Structure from Motion

Module #7
Depth Sensors and 3D Scanning
Overview of depth sensors, 3D scanning techniques, and point cloud registration

Module #8
Camera Calibration and Pose Estimation
Camera calibration methods and pose estimation techniques for computer vision

Module #9
Object Recognition and Classification
Introduction to object recognition and classification using 2D and 3D features

Module #10
Object Segmentation and Detection
Techniques for object segmentation and detection in 2D and 3D data

Module #11
Optimization Methods for Computer Vision
Overview of optimization methods used in computer vision, including linear least squares and non-linear least squares

Module #12
Bundle Adjustment and SfM
Bundle adjustment and Structure from Motion (SfM) for 3D reconstruction

Module #13
Visual Odometry and SLAM
Visual odometry and SLAM (Simultaneous Localization and Mapping) for robotics and computer vision

Module #14
3D Object Recognition and Retrieval
Advanced topics in 3D object recognition and retrieval, including shape analysis and matching

Module #15
Image-Based 3D Modeling
Techniques for creating 3D models from 2D images, including texture mapping and mesh generation

Module #16
3D Computer Vision for Robotics
Applications of 3D computer vision in robotics, including object manipulation and scene understanding

Module #17
Deep Learning for 3D Computer Vision
Introduction to deep learning methods for 3D computer vision, including convolutional neural networks (CNNs) and point cloud processing

Module #18
Point Cloud Processing and Analysis
Methods for processing and analyzing point clouds, including filtering, segmentation, and registration

Module #19
3D Reconstruction from 3D Data
Techniques for reconstructing 3D scenes from 3D data, including mesh reconstruction and volumetric methods

Module #20
Applications of 3D Computer Vision
Real-world applications of 3D computer vision, including computer-aided design (CAD), architecture, and healthcare

Module #21
3D Computer Vision for Augmented Reality
Applications of 3D computer vision in augmented reality, including markerless tracking and scene understanding

Module #22
3D Computer Vision for Medical Imaging
Applications of 3D computer vision in medical imaging, including image registration and segmentation

Module #23
Image and Video Processing for 3D Computer Vision
Advanced topics in image and video processing for 3D computer vision, including deblurring and super-resolution

Module #24
Implementation and Tools for 3D Computer Vision
Overview of popular libraries and tools for implementing 3D computer vision algorithms, including OpenCV and PCL

Module #25
Course Wrap-Up & Conclusion
Planning next steps in 3D Computer Vision and Image Processing career

WIZAPE

ONLINE RESOURCES

ABOUT WIZAPE

ONLINE PORTAL

Our priority is to cultivate a vibrant community before considering the release of a token. By focusing on engagement and support, we can create a solid foundation for sustainable growth. Let’s build this together!

We're giving our website a fresh new look and feel! 🎉 Stay tuned as we work behind the scenes to enhance your experience.
Get ready for a revamped site that’s sleeker, and packed with new features. Thank you for your patience. Great things are coming!

CONTACT-US PRIVACY POLICY

3D Computer Vision and Image Processing ( 25 Modules )

3D Computer Vision and Image Processing
( 25 Modules )