'Image plane' presentation slideshows

Proprioceptive roll and pitch interact in contributing to visual tilt-induced effects.

Proprioceptive roll and pitch interact in contributing to visual tilt-induced effects. Jennifer E. Corbett & James T. Enns The University of British Columbia Visual and proprioceptive information calibrate our sense of upright.

1.59k views • 115 slides

EE 4780: Introduction to Computer Vision

998 views • 62 slides

Off-the-Shelf Vision-Based Mobile Robot Sensing

Off-the-Shelf Vision-Based Mobile Robot Sensing. Zhichao Chen Advisor: Dr. Stan Birchfield Clemson University. Vision in Robotics. A robot has to perceive its surroundings in order to interact with it. Vision is promising for several reasons: Non-contact (passive) measurement Low cost

825 views • 61 slides

Lecture 9 Optical Flow, Feature Tracking, Normal Flow

Lecture 9 Optical Flow, Feature Tracking, Normal Flow. Gary Bradski Sebastian Thrun. *. http://robots.stanford.edu/cs223b/index.html. * Picture from Khurram Hassan-Shafique CAP5415 Computer Vision 2003. Q from stereo about Essential Matrix. (from Trucco P-153).

1.05k views • 60 slides

DIGITAL IMAGE CORRELATION

1.58k views • 52 slides

Ray Tracing

Ray Tracing. What is it? Why use it? Basics Advanced topics References. Ray-Tracing: Why Use It?. Simulate rays of light Produces natural lighting effects. Ray-Tracing: Why Use It?. Hard to simulate effects with rasterization techniques (OpenGL) Rasterizers require many passes

1k views • 50 slides

3D Head Mesh Data

3D Head Mesh Data. Stereo Vision Active Stereo 3D Reconstruction 3dMD System. Data Types. Volumetric Data Voxel grids Occupancy Density Surface Data Point clouds Range images (range maps). Range Acquisition Taxonomy. Mechanical (CMM, jointed arm).

654 views • 49 slides

Rigid Structure from Video

Rigid Structure from Video Pedro M. Q. Aguiar Outline Other methods - limitations Proposed approach Problem formulation Algorithms Experiments Motivation Segmentation of 2D rigid moving objects Inference of 3D rigid structure Content-based video representation

927 views • 46 slides

Homogeneous representation

Homogeneous representation. Points Vectors Transformation representation. Lecture 4: Image formation. Image Formation. Vision infers world properties form images. How do images depend on these properties? Two key elements Geometry Radiometry We consider only simple models of these.

844 views • 44 slides

Keck NGAO Science: Strong Gravitational Lensing

Keck NGAO Science: Strong Gravitational Lensing. Phil Marshall and Tommaso Treu September 2007. Outline. Examples of strong lensing science: The dark and stellar mass of elliptical galaxies out to, and beyond z = 1 CDM substructure: imaging the mass

592 views • 39 slides

Computer Graphics

Computer Graphics. Lecture 9 Antialiasing, Texture Mapping. Today. Texture mapping Common texture coordinates mapping Texture coordinates Antialiasing Antialiasing-textures. 2. Texture Mapping : Why needed?. We don't want to represent all this detail with colour / geometry.

452 views • 36 slides

Plan for Imaging Optics

Plan for Imaging Optics. Background 1. Optical imaging systems 2. Thin lens review (mirrors later) Matrix Methods 3. Matrix method 4. Refraction at curved surfaces 5. Meaning of matrix elements (cardinal points and principal planes) 6. Solution methods and examples

599 views • 33 slides

OPTICS AND DEPTH BY NEEL KAMAT DEPARTMENT OF ELECTRICAL ENGINEERING UNIVERSITY OF TEXAS AT ARLINGTON

OPTICS AND DEPTH BY NEEL KAMAT DEPARTMENT OF ELECTRICAL ENGINEERING UNIVERSITY OF TEXAS AT ARLINGTON. WHAT IS OPTICS . HOW IS IT RELATED TO COMPUTER VISION.

460 views • 31 slides

what is diffraction?

715 views • 30 slides

Last Time

444 views • 30 slides

Last Time

Last Time. 2D Coordinate systems and transformations. Today. 3D Transformations Orthographic Viewing. 3D Transformations. Homogeneous coordinates: (x,y,z)=(wx,wy,wz,w) Transformations are now represented as 4x4 matrices

378 views • 27 slides

The Radiance Equation

The Radiance Equation. Mel Slater. Outline. Introduction Light Simplifying Assumptions Radiance Reflectance The Radiance Equation Traditional Rendering Solutions Visibility Conclusions. Introduction. Lighting is the central problem of real-time graphics rendering

663 views • 25 slides

Presenter: Van-Dung Hoang hvzung@islab.ulsan.ac.kr October 12, 2013

Extrinsic Self Calibration of a Camera and a 3D Laser Range Finder from Natural Scenes Davide Scaramuzza , Ahad Harati , and Roland Siegwar IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, 2007 . Presenter: Van-Dung Hoang hvzung@islab.ulsan.ac.kr

366 views • 22 slides

Camera diagram

Camera diagram. Camera matrix HZ6.1. Extracting camera parameters HZ6.2. Camera matrix from F HZ9.5. IAC HZ3.5-3.7, 8.5. IAC and K HZ8.5. Computing K from 1 image HZ8.8. Calibration using Q* HZ19.3 Hartley 92. Camera terminology.

605 views • 19 slides

Introduction to 3D Graphics

661 views • 10 slides