3D Reconstruction: Multiple Viewpoints

Enroll in 3D Reconstruction: Multiple Viewpoints to gain advanced expertise in recovering 3D structures from multi-camera images.

This course covers essential computer vision techniques such as camera calibration, uncalibrated stereo, optical flow, and structure from motion. Learn the principles of geometric modeling, explore the linear camera model, and apply these concepts to real-world applications in robotics, virtual reality, and augmented reality.

Key Benefits

• Comprehensive 3D Techniques: Learn foundational and advanced methods for reconstructing 3D structures using multiple viewpoints.

• Camera Calibration Skills: Master the process of estimating internal and external camera parameters for accurate 3D modeling.

• Advanced Computer Vision: Explore techniques such as optical flow, binocular stereo, and structure from motion for scene reconstruction.

• Real-World Applications: Apply 3D reconstruction methods in robotics, virtual reality, and augmented reality.

• Expert Instruction: Learn from Dr. Shree Nayar, a globally recognized authority in computer vision and imaging systems.

Learning Outcomes

By the end of this course, learners will be able to:

• Calibrate Cameras: Perform camera calibration to estimate internal and external parameters accurately.

• Apply Stereo Techniques: Utilize both simple and uncalibrated stereo methods for 3D scene reconstruction.

• Develop Optical Flow Algorithms: Create optical flow models using methods like Lucas-Kanade for motion estimation.

• Explore Structure from Motion: Design and implement techniques to analyze scene structure and camera motion.

• Leverage Real-World Applications: Apply computer vision concepts to practical scenarios in fields such as robotics and augmented reality.

Are you ready to master the art of 3D reconstruction from multiple viewpoints?

Enroll in 3D Reconstruction: Multiple Viewpoints to gain the skills and knowledge needed to excel in advanced computer vision applications. Guided by Dr. Shree Nayar, this course equips you to tackle challenges in robotics, virtual reality, and augmented reality.