Fundamentals of Image Formation Lecture 2 Jitendra Malik.

Slides:



Advertisements
Similar presentations
The Camera : Computational Photography Alexei Efros, CMU, Fall 2006.
Advertisements

Essential Question: How do images form by reflection?
Speed of Sound, Transmission of Light and Pinhole Camera.
Three Dimensional Viewing
Computer Vision CS 776 Spring 2014 Cameras & Photogrammetry 1 Prof. Alex Berg (Slide credits to many folks on individual slides)
Study the mathematical relations between corresponding image points.
Chapter 23 Mirrors and Lenses.
AP Physics B Mrs. Wallace. Reflection Reflection occurs when light bounces off a surface. There are two types of reflection Specular reflection Off a.
Review from last class – Complete in your notes. 1.A pinhole camera creates an image of a 37- meter-tall tree. If the image is 2.4 cm tall and inverted,
Chapter 23 Mirrors and Lenses.
Camera Models A camera is a mapping between the 3D world and a 2D image The principal camera of interest is central projection.
Viewing and Projections
Image Formation and Optics
Geometry of Images Pinhole camera, projection A taste of projective geometry Two view geometry:  Homography  Epipolar geometry, the essential matrix.
Announcements. Projection Today’s Readings Nalwa 2.1.
Lecture 5: Projection CS6670: Computer Vision Noah Snavely.
CS485/685 Computer Vision Prof. George Bebis
Image Formation1 Projection Geometry Radiometry (Image Brightness) - to be discussed later in SFS.
Lecture 12: Projection CS4670: Computer Vision Noah Snavely “The School of Athens,” Raphael.
CS223b, Jana Kosecka Rigid Body Motion and Image Formation.
Viewing Doug James’ CG Slides, Rich Riesenfeld’s CG Slides, Shirley, Fundamentals of Computer Graphics, Chap 7 Wen-Chieh (Steve) Lin Institute of Multimedia.
Classical Viewing CS4395: Computer Graphics 1 Mohan Sridharan Based on slides created by Edward Angel.
The Camera : Computational Photography Alexei Efros, CMU, Fall 2008.
Cameras, lenses, and calibration
Optics Can you believe what you see?. Optics Reflection: Light is retransmitted from or “bounces off” an object.
Perspective projection
Basic Principles of Imaging and Photometry Lecture #2 Thanks to Shree Nayar, Ravi Ramamoorthi, Pat Hanrahan.
SCPY152 General Physics II Lecture 1 Ray Optics
776 Computer Vision Jan-Michael Frahm Fall Camera.
Image Formation Fundamentals Basic Concepts (Continued…)
776 Computer Vision Jan-Michael Frahm, Enrique Dunn Spring 2013.
Computer Graphics I, Fall 2010 Classical Viewing.
CS559: Computer Graphics Lecture 9: Projection Li Zhang Spring 2008.
1 Classical Viewing. 2 Objectives Introduce the classical views Compare and contrast image formation by computer with how images have been formed by architects,
Image Formation Dr. Chang Shu COMP 4900C Winter 2008.
CS-378: Game Technology Lecture #2.1: Projection Prof. Okan Arikan University of Texas, Austin Thanks to James O’Brien, Steve Chenney, Zoran Popovic, Jessica.
Metrology 1.Perspective distortion. 2.Depth is lost.
Chapter 34 Lecture Seven: Images: I HW 3 (problems): 34.40, 34.43, 34.68, 35.2, 35.9, 35.16, 35.26, 35.40, Due Friday, Sept. 25.
1 Perception, Illusion and VR HNRS 299, Spring 2008 Lecture 2 Introduction, Light Course webpage:
Fundamental principles of technical sketching and visualization techniques Unit B, Objective 4.01.
0 Assignment 1 (Due: 3/9) The projections of two parallel lines, l 1 and l 2, which lie on the ground plane G, onto the image plane I converge at a point.
Ray Diagrams Noadswood Science, 2013.
Computer Graphics Lecture 08 Fasih ur Rehman. Last Class Ray Tracing.
Foundations of Computer Graphics (Spring 2012) CS 184, Lecture 5: Viewing
12/24/2015 A.Aruna/Assistant professor/IT/SNSCE 1.
Psychology 3680 Course Website Or And follow the links….
A Photograph of two papers
Viewing and Projection. The topics Interior parameters Projection type Field of view Clipping Frustum… Exterior parameters Camera position Camera orientation.
Radiometry of Image Formation Jitendra Malik. A camera creates an image … The image I(x,y) measures how much light is captured at pixel (x,y) We want.
1 Computational Vision CSCI 363, Fall 2012 Lecture 2 Introduction to Vision Science.
Radiometry of Image Formation Jitendra Malik. What is in an image? The image is an array of brightness values (three arrays for RGB images)
Projection. Conceptual model of 3D viewing process.
Computer Graphics Projections.
PROJECTIONS PROJECTIONS 1. Transform 3D objects on to a 2D plane using projections 2 types of projections Perspective Parallel In parallel projection,
Jan-Michael Frahm Fall 2016
PERSPECTIVE PROJECTION…...
CSCE 441 Computer Graphics 3-D Viewing
CSC461: Lecture 18 Classical Viewing
Humans and animals have a number of senses
Classical Viewing Ed Angel
I. BASICS Thanks to Peter Corke for the use of some slides
Isaac Gang University of Mary Hardin-Baylor
Three Dimensional Viewing
Lecture 13: Cameras and geometry
Planar Geometric Projection Classes
Announcements Midterm out today Project 1 demos.
University of New Mexico
Isaac Gang University of Mary Hardin-Baylor
Perspective Photos.
Announcements Midterm out today Project 1 demos.
Presentation transcript:

Fundamentals of Image Formation Lecture 2 Jitendra Malik

A camera creates an image … The image I(x,y) measures how much light is captured at pixel (x,y) We want to know Where does a point (X,Y,Z) in the world get imaged? What is the brightness at the resulting point (x,y)?

The Pinhole Camera x y

Camera Obscura (Reinerus Gemma-Frisius, 1544)

The Pinhole Camera x y

Let us prove this … This diagram is for the special case of a point P in the Y-Z plane. In the general case, consider the projection of P on the Y-Z plane.

The Pinhole Camera x y

The image is inverted This was pointed out by Kepler in 1604 But this is no big deal. The brain can interpret it the right way. And for a camera, software can simply flip the image top-down and right-left. After this trick, we get From Descartes(1637), La Dioptrique

A projection model that avoids inversion Perspective projection is a mapping from points in 3D space to rays through the Center of Projection

Some perspective phenomena…

Parallel lines converge to a vanishing point

Each family of parallel lines has its own vanishing point

Proof Let there be a point A and a direction vector D in three dimensional space.

Each family of parallel lines has its own vanishing point But this isn’t true of the vertical lines. They stay parallel. Why?

Vanishing point in vector notation

Nearer objects are lower in the image

Proof The equation of the ground plane is Y = -h A point on the ground plane will have y-coordinate y= -fh/Z

Nearer objects look bigger

Bottom at (X, - h, Z) Top at (X, L – h, Z) It is straightforward to calculate the projection of the top & bottom of the pole. The difference is the “apparent height”

Perspective projection is a mapping from 3D points to rays through the center of projection; the imaging surface could be planar or spherical

Projection of a line in planar perspective is a line, in spherical perspective is a great circle

The natural measure of image size is visual angle Perspective projection is a mapping from points in 3D space to rays through the Center of Projection

Two main effects of perspective projection

The slabs that are far away not only look smaller, but also more foreshortened

Orthographic projection Approximation to perspective when the object is relatively far away compared to the depth variation in it