Image Formation1 Projection Geometry Radiometry (Image Brightness) - to be discussed later in SFS.

Slides:



Advertisements
Similar presentations
Vanishing points  .
Advertisements

More on single-view geometry
Computer Vision Radiometry. Bahadir K. Gunturk2 Radiometry Radiometry is the part of image formation concerned with the relation among the amounts of.
CS 691 Computational Photography Instructor: Gianfranco Doretto 3D to 2D Projections.
1 Geometric optics Light in geometric optics is discussed in rays and represented by a straight line with an arrow indicating the propagation direction.
Chapter 31 Images.
Radiometry. Outline What is Radiometry? Quantities Radiant energy, flux density Irradiance, Radiance Spherical coordinates, foreshortening Modeling surface.
Photo-realistic Rendering and Global Illumination in Computer Graphics Spring 2012 Material Representation K. H. Ko School of Mechatronics Gwangju Institute.
Paris town hall.
Chapter 23 Mirrors and Lenses.
Chapter 25. Mirrors and the Reflection of Light Our everyday experience that light travels in straight lines is the basis of the ray model of light. Ray.
Camera Models A camera is a mapping between the 3D world and a 2D image The principal camera of interest is central projection.
Vision, Video and Virtual Reality Omnidirectional Vision Lecture 6 Omnidirectional Cameras CSC 59866CD Fall 2004 Zhigang Zhu, NAC 8/203A
Cameras (Reading: Chapter 1) Goal: understand how images are formed Camera obscura dates from 15 th century Basic abstraction is the pinhole camera Perspective.
Announcements. Projection Today’s Readings Nalwa 2.1.
Lecture 5: Projection CS6670: Computer Vision Noah Snavely.
Stefano Soatto (c) UCLA Vision Lab 1 Homogeneous representation Points Vectors Transformation representation.
MSU CSE 803 Stockman Perspective algebra: quick- and-dirty first look Geometry of similar triangles yields algebra for computing world-image transformation.
Announcements Mailing list (you should have received messages) Project 1 additional test sequences online Talk today on “Lightfield photography” by Ren.
CS485/685 Computer Vision Prof. George Bebis
© 2002 by Davi GeigerComputer Vision January 2002 L1.1 Image Formation Light can change the image (and appearances). What is the relation between pixel.
Introduction to Computer Vision CS / ECE 181B Tues, May 18, 2004 Ack: Matthew Turk (slides)
Camera model Relation between pixels and rays in space ?
Announcements Mailing list Project 1 test the turnin procedure *this week* (make sure it works) vote on best artifacts in next week’s class Project 2 groups.
© 2004 by Davi GeigerComputer Vision February 2004 L1.1 Image Formation Light can change the image and appearances (images from D. Jacobs) What is the.
Lecture 13: Projection, Part 2
Lecture 12: Projection CS4670: Computer Vision Noah Snavely “The School of Athens,” Raphael.
© 2003 by Davi GeigerComputer Vision September 2003 L1.1 Image Formation Light can change the image and appearances (images from D. Jacobs) What is the.
Classical Viewing CS4395: Computer Graphics 1 Mohan Sridharan Based on slides created by Edward Angel.
What is an image? Light changes its path after reflection or refraction. Thus when we see something, we may not seeing the REAL thing at its true location.
The Camera : Computational Photography Alexei Efros, CMU, Fall 2008.
Introduction to Computer Vision CS / ECE 181B Thursday, April 13, 2004  Image Formation.
Camera: optical system d  21 thin lens small angles: Y Z  2 1 curvature radius.
Cameras, lenses, and calibration
Geometrical Optics (Lecture II)
Basic Principles of Imaging and Photometry Lecture #2 Thanks to Shree Nayar, Ravi Ramamoorthi, Pat Hanrahan.
Curved Mirrors The most common type of curved mirror is a spherical mirror A spherical mirror has the shape of a section from the surface of a sphere.
Reflectance Map: Photometric Stereo and Shape from Shading
Geometric Models & Camera Calibration
776 Computer Vision Jan-Michael Frahm, Enrique Dunn Spring 2013.
Computer Graphics I, Fall 2010 Classical Viewing.
1 Classical Viewing. 2 Objectives Introduce the classical views Compare and contrast image formation by computer with how images have been formed by architects,
The Reflection of Light: Mirrors
Chapter 36 Image Formation (Lens and Mirrors) Using the ray approximation of geometric optics, we can now study how images are formed with mirrors and.
Image Formation Dr. Chang Shu COMP 4900C Winter 2008.
Computer Graphics Bing-Yu Chen National Taiwan University.
Course 9 Texture. Definition: Texture is repeating patterns of local variations in image intensity, which is too fine to be distinguished. Texture evokes.
CS 325 Introduction to Computer Graphics 02 / 22 / 2010 Instructor: Michael Eckmann.
1 Chapter 2: Geometric Camera Models Objective: Formulate the geometrical relationships between image and scene measurements Scene: a 3-D function, g(x,y,z)
Image formation.
Physics 203/204 4: Geometric Optics Images formed by refraction Lens Makers Equation Thin lenses Combination of thin lenses Aberration Optical Instruments.
Lecture 14: Projection CS4670 / 5670: Computer Vision Noah Snavely “The School of Athens,” Raphael.
RAC/RA Projection Types of Projection Simple Projections Generalized Projection.
1 The law of reflection: The law of refraction: Snell’s Law Image formation.
A light beam striking a boundary between two media can be partly transmitted and partly reflected at the boundary.
Lecture 18: Cameras CS4670 / 5670: Computer Vision KavitaBala Source: S. Lazebnik.
Viewing. Classical Viewing Viewing requires three basic elements - One or more objects - A viewer with a projection surface - Projectors that go from.
Projection. Conceptual model of 3D viewing process.
PROJECTIONS PROJECTIONS 1. Transform 3D objects on to a 2D plane using projections 2 types of projections Perspective Parallel In parallel projection,
1 Ch. 4: Radiometry–Measuring Light Preview 。 The intensity of an image reflects the brightness of a scene, which in turn is determined by (a) the amount.
Geometric Optics Figure Mirrors with convex and concave spherical surfaces. Note that θr = θi for each ray.
Rendering Pipeline Fall, 2015.
PERSPECTIVE PROJECTION…...
CSC461: Lecture 18 Classical Viewing
Lecture 13: Cameras and geometry
Planar Geometric Projection Classes
Orthogonal Drawings Orthogonal drawings are 2d drawings of 3d objects created by orthographic projection. Orthogonal: intersecting or lying at right angles.
Announcements Midterm out today Project 1 demos.
Viewing (Projections)
Announcements Midterm out today Project 1 demos.
Presentation transcript:

Image Formation1 Projection Geometry Radiometry (Image Brightness) - to be discussed later in SFS.

Image Formation2 Pinhole Camera (source: A Guided tour of computer vision/Vic Nalwa)

Image Formation3 Perspective Projection (source: A Guided tour of computer vision/Vic Nalwa)

Image Formation4 Perspective Projection

Image Formation5 Some Observations/questions Note that under perspective projection, straight- lines in 3-D project as straight lines in the 2-D image plane. Can you prove this analytically? –What is the shape of the image of a sphere? –What is the shape of the image of a circular disk? Assume that the disk lies in a plane that is tilted with respect to the image plane. What would be the image of a set of parallel lines –Do they remain parallel in the image plane?

Image Formation6 Note: Equation for a line in 3-D (and in 2-D) Line in 3-D: Line in 2-D By using the projective geometry equations, it is easy to show that a line in 3-D projects as a line in 2-D.

Image Formation7 Vanishing Point Vanishing point of a straight line under perspective projection is that point in the image beyond which the projection of the straight line can not extend. –I.e., if the straight line were infinitely long in space, the line would appear to vanish at its vanishing point in the image. –The vanishing point of a line depends ONLY on its orientation is space, and not on its position. –Thus, parallel lines in space appear to meet at their vanishing point in image.

Image Formation8 Vanishing Point (source: A Guided tour of computer vision/Vic Nalwa)

Image Formation9 The Vanishing Point (source: A Guided tour of computer vision/Vic Nalwa)

Image Formation10 Vanishing point (last slide!) For any given spatial orientation, the vanishing point is located at that point on the projection surface where a straight line passing through the center of projection with the given orientation would intersect the projection surface.

Image Formation11 Planar vs Spherical Perspective Projection (source: A Guided tour of computer vision/Vic Nalwa)

Image Formation12 Spherical Perspective Projection Under parallel perspective projection, straight line map onto straight line. Question: What do straight lines map onto under spherical perspective projection?

Image Formation13 Orthographic Projection Projection onto a plane by a set of parallel rays orthogonal to this plane. (source: A Guided tour of computer vision/Vic Nalwa)

Image Formation14 Approximation of Perspective Projection A. object dimensions are small compared to the distance of the object from the center of projection. B. Compared to this distance, the object is close to the straight line that passes through COP and is orthogonal to the IP.

Image Formation15 Approximation by Parallel Projection (source: A Guided tour of computer vision/Vic Nalwa)

Image Formation16 Parallel Projection Parallel Projection is a generalization of orthographic projection in which the object is projected onto the image plane by a set of parallel rays that are not necessarily orthogonal to this plane. Perspective projection can be approximated by parallel projection up to a uniform scale factor whenever the object’s dimensions are small compared to the average distance of the object from the center of projection.

Image Formation17 Note: Imaging with a lens

Image Formation18 Misfocus Blur

Image Formation19 Brightness Irradiance, as a measure of image brightness –Irradiance is the power per unit area (Watts per square meter) of radiant energy falling on a surface. Irradiance

Image Formation20 Brightness Scene Brightness -- Radiance –Radiance is the power emitted per unit area into a cone of directions having unit solid angle ( Watts per square meter per steridian.)

Image Formation21 Image Formation: Summary –Projection Geometry What determines the position of a 3D point in the image? –Image Brightness What determines the brightness of the image of some surface? This we will discuss later when we talk about shape from shading.

Image Formation22 Summary Projection Geometry - determines the position of a 3D point in the image. –Perspective projection –approximations using orthographic projection parallel projection –terminology center of projection vanishing point optic axis focal point, focal length