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Inicio 4 June 2026 00:05
Fin 4 June 2026
3D Reconstruction - Multiple Viewpoints
Columbia University
17 Cursos
La Universidad de Columbia es una escuela de la Ivy League ubicada en Nueva York que proporciona una educación de clase mundial en una comunidad de aprendizaje diversa y vibrante.
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Resumen
Explore the fascinating world of 3D Reconstruction from Multiple Viewpoints, a comprehensive online course offered by Columbia University through Coursera. This detailed course delves into the techniques required to recover the 3D structure of a scene utilizing images captured from various perspectives.
Starting with the basics, learners will construct a detailed geometric model of a camera, progressing to calibrating both the internal and external parameters essential for accurate 3D reconstruction.
Participants will master the concept of simple binocular stereo by employing two calibrated cameras with known relative positions and orientations to uncover the scene's 3D structure. The course further explores the challenges of uncalibrated stereo – determining the relative positions and orientations of two cameras from their captured images to estimate a scene's 3D structure.
Moving beyond static scenes, the course addresses the complexities of dynamic environments.
Through the analysis of optical flow, students will learn to compute the motion of each point across a sequence of images, enabling the tracking of scene points in video sequences. Moreover, the course introduces the concept of structure from motion for videos shot with a moving camera, revealing how to deduce the 3D structure of a scene alongside the camera's movements.
This course is vital for those interested in the fields of object modeling, 3D site modeling, robotics, autonomous navigation, virtual reality, and augmented reality.
It's categorized under Robotics Courses, Computer Vision Courses, and Virtual Reality Courses, making it an ideal choice for professionals and enthusiasts eager to deepen their understanding of 3D reconstruction technologies.
Impartido por
Shree Nayar
