Slides adapted from Dr. Chen Wang CSE 573 lecture slides
\( \text{Agenda of this Lecture:}\)
Structure and depth are inherently ambiguous from single views.
Structure and depth are inherently ambiguous from single views.
Prados & Faugeras, 2006
H. Jin & P. Favaro, 2002
A.M. Loh
L. Zhang
Keunhong Park, Nerifies, 2021
http://www.johnsonshawmuseum.org
We will need to consider:
Two cameras, simultaneous views
Single camera moving in a static scene
Structure from Motion:
Stereo Correspondence:
Given a point in one of the images, where could its corresponding points be in the other images?
Motion (Camera Calibration):
Given a set of corresponding points in two or more images, compute the camera parameters.
Structure (Depth in the Scene):
Given projections of the same 3D point in two or more images, compute the 3D coordinates of that point.
Human eyes fixate on point in space - rotate so that corresponding images form in centers of fovea.
Disparity occurs when eyes fixate on one object; that appears at different visual angles.
We will be using Disparity for depth estimation.
We will assume for now that these parameters are given and fixed.
Assuming parallel optical axes, known camera parameters (i.e., calibrated cameras).
General
Case
General
Case
\( 2T + 3R\)
Use Live Code in the course website to play around with the implementation of depth estimation using window search.
Depth map \( \rightarrow \)
Use Live Code in the course website to play around with the implementation of depth estimation using window search.
Use Live Code in the course website to play around with the implementation of depth estimation using window search.