Projection. Readings. Szeliski 2.1. Wednesday, October 23, 13

Similar documents
Projection. Projection. Image formation. Müller-Lyer Illusion. Readings. Readings. Let s design a camera. Szeliski 2.1. Szeliski 2.

Projection. Announcements. Müller-Lyer Illusion. Image formation. Readings Nalwa 2.1

Cameras. CSE 455, Winter 2010 January 25, 2010

Unit 1: Image Formation

CS6670: Computer Vision

LENSES. INEL 6088 Computer Vision

The Camera : Computational Photography Alexei Efros, CMU, Fall 2008

Two strategies for realistic rendering capture real world data synthesize from bottom up

The Camera : Computational Photography Alexei Efros, CMU, Fall 2005

Building a Real Camera. Slides Credit: Svetlana Lazebnik

Building a Real Camera

How do we see the world?

CS6670: Computer Vision

Overview. Pinhole camera model Projective geometry Vanishing points and lines Projection matrix Cameras with Lenses Color Digital image

Computer Vision. The Pinhole Camera Model

Cameras. Outline. Pinhole camera. Camera trial #1. Pinhole camera Film camera Digital camera Video camera

Cameras. Digital Visual Effects, Spring 2008 Yung-Yu Chuang 2008/2/26. with slides by Fredo Durand, Brian Curless, Steve Seitz and Alexei Efros

IMAGE FORMATION. Light source properties. Sensor characteristics Surface. Surface reflectance properties. Optics

Announcement A total of 5 (five) late days are allowed for projects. Office hours

CSE 473/573 Computer Vision and Image Processing (CVIP)

Cameras. Shrinking the aperture. Camera trial #1. Pinhole camera. Digital Visual Effects Yung-Yu Chuang. Put a piece of film in front of an object.

Image formation - Cameras. Grading & Project. About the course. Tentative Schedule. Course Content. Students introduction

Image Formation. Dr. Gerhard Roth. COMP 4102A Winter 2015 Version 3

Acquisition. Some slides from: Yung-Yu Chuang (DigiVfx) Jan Neumann, Pat Hanrahan, Alexei Efros

CSE 527: Introduction to Computer Vision

Cameras. Outline. Pinhole camera. Camera trial #1. Pinhole camera Film camera Digital camera Video camera High dynamic range imaging

Colorado School of Mines. Computer Vision. Professor William Hoff Dept of Electrical Engineering &Computer Science.

To Do. Advanced Computer Graphics. Outline. Computational Imaging. How do we see the world? Pinhole camera

Image Formation and Capture. Acknowledgment: some figures by B. Curless, E. Hecht, W.J. Smith, B.K.P. Horn, and A. Theuwissen

VC 16/17 TP2 Image Formation

Image Formation and Capture

CS559: Computer Graphics. Lecture 2: Image Formation in Eyes and Cameras Li Zhang Spring 2008

Dr F. Cuzzolin 1. September 29, 2015

Single-view Metrology and Cameras

VC 14/15 TP2 Image Formation

VC 11/12 T2 Image Formation

Lecture 7: Camera Models

Digital Image Processing COSC 6380/4393

Lecture 02 Image Formation 1

Image Formation. Dr. Gerhard Roth. COMP 4102A Winter 2014 Version 1

Lenses, exposure, and (de)focus

Lecture 2 Camera Models

Digital Image Processing COSC 6380/4393

6.098 Digital and Computational Photography Advanced Computational Photography. Bill Freeman Frédo Durand MIT - EECS

Image Formation: Camera Model

Virtual and Digital Cameras

Lecture 2 Camera Models

CS 443: Imaging and Multimedia Cameras and Lenses

TSBB09 Image Sensors 2018-HT2. Image Formation Part 1

Lecture 8 Camera Models

INTRODUCTION THIN LENSES. Introduction. given by the paraxial refraction equation derived last lecture: Thin lenses (19.1) = 1. Double-lens systems

Cameras, lenses and sensors

Lecture 4: Geometrical Optics 2. Optical Systems. Images and Pupils. Rays. Wavefronts. Aberrations. Outline

Capturing Light in man and machine

The eye & corrective lenses

Lenses. Overview. Terminology. The pinhole camera. Pinhole camera Lenses Principles of operation Limitations

Prof. Feng Liu. Spring /05/2017

Image Formation III Chapter 1 (Forsyth&Ponce) Cameras Lenses & Sensors

Image Formation. World Optics Sensor Signal. Computer Vision. Introduction to. Light (Energy) Source. Surface Imaging Plane. Pinhole Lens.

Introduction to camera usage. The universal manual controls of most cameras

Cameras and Sensors. Today. Today. It receives light from all directions. BIL721: Computational Photography! Spring 2015, Lecture 2!

Capturing Light in man and machine. Some figures from Steve Seitz, Steve Palmer, Paul Debevec, and Gonzalez et al.

Lecture 7: homogeneous coordinates

Image Processing & Projective geometry

Chapter 25 Optical Instruments

CPSC 425: Computer Vision

R 1 R 2 R 3. t 1 t 2. n 1 n 2

Chapters 1 & 2. Definitions and applications Conceptual basis of photogrammetric processing

Basic principles of photography. David Capel 346B IST

Visual Perception. Readings and References. Forming an image. Pinhole camera. Readings. Other References. CSE 457, Autumn 2004 Computer Graphics

6.A44 Computational Photography

ECEG105/ECEU646 Optics for Engineers Course Notes Part 4: Apertures, Aberrations Prof. Charles A. DiMarzio Northeastern University Fall 2008

Lecture 7: Camera Models

What will be on the midterm?

Cameras. Steve Rotenberg CSE168: Rendering Algorithms UCSD, Spring 2017

Light. Path of Light. Looking at things. Depth and Distance. Getting light to imager. CS559 Lecture 2 Lights, Cameras, Eyes

Applied Optics. , Physics Department (Room #36-401) , ,

Lenses. A lens is any glass, plastic or transparent refractive medium with two opposite faces, and at least one of the faces must be curved.

Lecture 22: Cameras & Lenses III. Computer Graphics and Imaging UC Berkeley CS184/284A, Spring 2017

Lenses. Images. Difference between Real and Virtual Images

Image stitching. Image stitching. Video summarization. Applications of image stitching. Stitching = alignment + blending. geometrical registration

Overview. Image formation - 1

Physics 1230: Light and Color. Guest Lecture, Jack again. Lecture 23: More about cameras

Image Formation. Light from distant things. Geometrical optics. Pinhole camera. Chapter 36

MEM: Intro to Robotics. Assignment 3I. Due: Wednesday 10/15 11:59 EST

Capturing light and color

Understanding Focal Length

This document explains the reasons behind this phenomenon and describes how to overcome it.

Computational Photography and Video. Prof. Marc Pollefeys

Astronomical Cameras

ECEN 4606, UNDERGRADUATE OPTICS LAB

Optical Systems: Pinhole Camera Pinhole camera: simple hole in a box: Called Camera Obscura Aristotle discussed, Al-Hazen analyzed in Book of Optics

Getting light to imager. Capturing Images. Depth and Distance. Ideal Imaging. CS559 Lecture 2 Lights, Cameras, Eyes

Sensors and Sensing Cameras and Camera Calibration

Lecture 2: Geometrical Optics. Geometrical Approximation. Lenses. Mirrors. Optical Systems. Images and Pupils. Aberrations.

Announcements. Image Formation: Outline. The course. How Cameras Produce Images. Earliest Surviving Photograph. Image Formation and Cameras

Phys 531 Lecture 9 30 September 2004 Ray Optics II. + 1 s i. = 1 f

Image Acquisition Hardware. Image Acquisition and Representation. CCD Camera. Camera. how digital images are produced

Waves & Oscillations

The Human Visual System. Lecture 1. The Human Visual System. The Human Eye. The Human Retina. cones. rods. horizontal. bipolar. amacrine.

Transcription:

Projection Readings Szeliski 2.1

Projection Readings Szeliski 2.1

Müller-Lyer Illusion by Pravin Bhat

Müller-Lyer Illusion by Pravin Bhat http://www.michaelbach.de/ot/sze_muelue/index.html

Müller-Lyer Illusion by Pravin Bhat http://www.michaelbach.de/ot/sze_muelue/index.html

Image formation Let s design a camera Idea 1: put a piece of film in front of an object Do we get a reasonable image?

Image formation Let s design a camera Idea 1: put a piece of film in front of an object Do we get a reasonable image?

Image formation Let s design a camera Idea 1: put a piece of film in front of an object Do we get a reasonable image?

Image formation Let s design a camera Idea 1: put a piece of film in front of an object Do we get a reasonable image?

Pinhole camera Add a barrier to block off most of the rays This reduces blurring The opening known as the aperture How does this transform the image?

Pinhole camera Add a barrier to block off most of the rays This reduces blurring The opening known as the aperture How does this transform the image?

Pinhole camera Add a barrier to block off most of the rays This reduces blurring The opening known as the aperture How does this transform the image?

Camera Obscura The first camera Known to Aristotle How does the aperture size affect the image?

Shrinking the aperture Why not make the aperture as small as possible?

Shrinking the aperture Why not make the aperture as small as possible? Less light gets through Diffraction effects...

Shrinking the aperture

Adding a lens A lens focuses light onto the film There is a specific distance at which objects are in focus other points project to a circle of confusion in the image Changing the shape of the lens changes this distance

Adding a lens A lens focuses light onto the film There is a specific distance at which objects are in focus other points project to a circle of confusion in the image Changing the shape of the lens changes this distance

Adding a lens A lens focuses light onto the film There is a specific distance at which objects are in focus other points project to a circle of confusion in the image Changing the shape of the lens changes this distance

Adding a lens A lens focuses light onto the film There is a specific distance at which objects are in focus other points project to a circle of confusion in the image Changing the shape of the lens changes this distance

Adding a lens A lens focuses light onto the film There is a specific distance at which objects are in focus other points project to a circle of confusion in the image Changing the shape of the lens changes this distance

Adding a lens circle of confusion A lens focuses light onto the film There is a specific distance at which objects are in focus other points project to a circle of confusion in the image Changing the shape of the lens changes this distance

Lenses F optical center (Center Of Projection) focal point A lens focuses parallel rays onto a single focal point focal point at a distance f beyond the plane of the lens f is a function of the shape and index of refraction of the lens Aperture of diameter D restricts the range of rays aperture may be on either side of the lens Lenses are typically spherical (easier to produce)

Thin lenses Thin lens equation: Any object point satisfying this equation is in focus What is the shape of the focus region? How can we change the focus region? Thin lens applet: http://www.phy.ntnu.edu.tw/java/lens/lens_e.html (by Fu-Kwun Hwang )

Depth of field f / 5.6 f / 32 Changing the aperture size affects depth of field A smaller aperture increases the range in which the object is approximately in focus Flower images from Wikipedia http://en.wikipedia.org/wiki/depth_of_field

The eye The human eye is a camera Iris - colored annulus with radial muscles Pupil - the hole (aperture) whose size is controlled by the iris What s the film?

The eye The human eye is a camera Iris - colored annulus with radial muscles Pupil - the hole (aperture) whose size is controlled by the iris What s the film? photoreceptor cells (rods and cones) in the retina

Digital camera A digital camera replaces film with a sensor array Each cell in the array is a Charge Coupled Device light-sensitive diode that converts photons to electrons other variants exist: CMOS is becoming more popular http://electronics.howstuffworks.com/digital-camera.htm

Issues with digital cameras Noise big difference between consumer vs. SLR-style cameras low light is where you most notice noise Compression creates artifacts except in uncompressed formats (tiff, raw) Color color fringing artifacts from Bayer patterns Blooming charge overflowing into neighboring pixels In-camera processing oversharpening can produce halos Interlaced vs. progressive scan video even/odd rows from different exposures Are more megapixels better? requires higher quality lens noise issues Stabilization compensate for camera shake (mechanical vs. electronic) More info online, e.g., http://electronics.howstuffworks.com/digital-camera.htm http://www.dpreview.com/

Modeling projection The coordinate system We will use the pin-hole model as an approximation Put the optical center (Center Of Projection) at the origin Put the image plane (Projection Plane) in front of the COP Why? The camera looks down the negative z axis we need this if we want right-handed-coordinates

Modeling projection The coordinate system We will use the pin-hole model as an approximation Put the optical center (Center Of Projection) at the origin Put the image plane (Projection Plane) in front of the COP Why? The camera looks down the negative z axis we need this if we want right-handed-coordinates

Modeling projection Projection equations Compute intersection with PP of ray from (x,y,z) to COP Derived using similar triangles (on board)

Modeling projection Projection equations Compute intersection with PP of ray from (x,y,z) to COP Derived using similar triangles (on board)

Modeling projection Projection equations Compute intersection with PP of ray from (x,y,z) to COP Derived using similar triangles (on board) We get the projection by throwing out the last coordinate:

Homogeneous coordinates Is this a linear transformation? Trick: add one more coordinate: homogeneous image coordinates homogeneous scene coordinates Converting from homogeneous coordinates

Homogeneous coordinates Is this a linear transformation? no division by z is nonlinear Trick: add one more coordinate: homogeneous image coordinates homogeneous scene coordinates Converting from homogeneous coordinates

Perspective Projection Projection is a matrix multiply using homogeneous coordinates: This is known as perspective projection The matrix is the projection matrix Can also formulate as a 4x4 (today s reading does this)

Perspective Projection Projection is a matrix multiply using homogeneous coordinates: divide by third coordinate This is known as perspective projection The matrix is the projection matrix Can also formulate as a 4x4 (today s reading does this)

Perspective Projection Projection is a matrix multiply using homogeneous coordinates: divide by third coordinate This is known as perspective projection The matrix is the projection matrix Can also formulate as a 4x4 (today s reading does this) divide by fourth coordinate

Perspective Projection How does scaling the projection matrix change the transformation?

Perspective Projection How does scaling the projection matrix change the transformation?

Perspective Projection How does scaling the projection matrix change the transformation?

Orthographic projection Special case of perspective projection Distance from the COP to the PP is infinite Image World Good approximation for telephoto optics Also called parallel projection : (x, y, z) (x, y) What s the projection matrix?

Orthographic projection Special case of perspective projection Distance from the COP to the PP is infinite Image World Good approximation for telephoto optics Also called parallel projection : (x, y, z) (x, y) What s the projection matrix?

Orthographic ( telecentric ) lenses Navitar telecentric zoom lens http://www.lhup.edu/~dsimanek/3d/telecent.htm

Variants of orthographic projection Scaled orthographic Also called weak perspective Affine projection Also called paraperspective

Camera parameters A camera is described by several parameters Translation T of the optical center from the origin of world coords Rotation R of the image plane focal length f, principle point (x c, y c ), pixel size (s x, s y ) blue parameters are called extrinsics, red are intrinsics The definitions of these parameters are not completely standardized especially intrinsics varies from one book to another

Camera parameters A camera is described by several parameters Translation T of the optical center from the origin of world coords Rotation R of the image plane focal length f, principle point (x c, y c ), pixel size (s x, s y ) blue parameters are called extrinsics, red are intrinsics Projection equation The projection matrix models the cumulative effect of all parameters Useful to decompose into a series of operations identity matrix intrinsics projection rotation translation The definitions of these parameters are not completely standardized especially intrinsics varies from one book to another

Distortion No distortion Pin cushion Barrel Radial distortion of the image Caused by imperfect lenses Deviations are most noticeable for rays that pass through the edge of the lens

Correcting radial distortion from Helmut Dersch

Distortion

Distortion

Distortion

Modeling distortion Project to normalized image coordinates Apply radial distortion Apply focal length translate image center To model lens distortion Use above projection operation instead of standard projection matrix multiplication

360 degree field of view Basic approach Take a photo of a parabolic mirror with an orthographic lens (Nayar) Or buy one a lens from a variety of omnicam manufacturers See http://www.cis.upenn.edu/~kostas/omni.html

Tilt-shift http://www.northlight-images.co.uk/article_pages/tilt_and_shift_ts-e.html Titlt-shift images from Olivo Barbieri and Photoshop imitations

Rotating sensor (or object) Rollout Photographs Justin Kerr http://research.famsi.org/kerrmaya.html Also known as cyclographs, peripheral images

Photofinish