3D computer vision techniques KH Wong 3D computer vision techniques v.4b2
3D computer vision techniques v.4b2 1 3D computer vision techniques KH Wong
Seminar Title:3D computer vision techniques. Abstract In this talk,the ideas of obtaining 3D information of objects (or called 3D reconstruction)using different techniques are discussed.Currently,the most popular one is the image based method that uses 2D cameras for 3D reconstruction;in particular reconstruction based on one-image,two-image and multiple- image are discussed.Moreover,batch and sequential treatments of input data are studied.I will also talk about novel techniques, such as using multiple cameras and laser based methods to obtain 3D information.And I will discuss how 3D computer vision is used in film and game production.Finally naked-eye 3D display technologies will be mentioned. 3D computer vision techniques v.4b2 2
3D computer vision techniques v.4b2 2 Seminar Title: 3D computer vision techniques. ⚫ Abstract In this talk, the ideas of obtaining 3D information of objects (or called 3D reconstruction) using different techniques are discussed. Currently, the most popular one is the image based method that uses 2D cameras for 3D reconstruction; in particular reconstruction based on one-image, two-image and multipleimage are discussed. Moreover, batch and sequential treatments of input data are studied. I will also talk about novel techniques, such as using multiple cameras and laser based methods to obtain 3D information. And I will discuss how 3D computer vision is used in film and game production. Finally naked-eye 3D display technologies will be mentioned
Overview(part1) ●Introduction ● From 2D to 3D Camera systems/calibration Feature extraction/correspondence Reconstruction algorithms .2 views,3 views,N views Real-time algorithms/Kalman filter ●Previous projects Virtual viewer/Projector camera systems 。Keystone correction ●Novel setups Multiple cameras/Camera array Obtain 3D directly ● Structured light 。Laser approach Kinect approach Photometric stereo 3D computer vision techniques v.4b2 3
3D computer vision techniques v.4b2 3 Overview (part1) ⚫ Introduction ⚫ From 2D to 3D ⚫ Camera systems/calibration ⚫ Feature extraction/correspondence ⚫ Reconstruction algorithms ⚫ 2 views, 3 views , N views ⚫ Real-time algorithms/Kalman filter ⚫ Previous projects ⚫ Virtual viewer/ Projector camera systems ⚫ Keystone correction ⚫ Novel setups ⚫ Multiple cameras/ Camera array ⚫ Obtain 3D directly ⚫ Structured light ⚫ Laser approach ⚫ Kinect approach ⚫ Photometric stereo
Overview(part 2) Applications Photos from tourists(photo tourism) http://phototour.cs.washington.edu/ ●3 D displays Possible future research Classification based on 3D information ●( Content search 3D based on 3D keys Merging with sound information 3D computer vision techniques v.4b2
3D computer vision techniques v.4b2 4 Overview (part 2) ⚫ Applications ⚫ Photos from tourists (photo tourism) http://phototour.cs.washington.edu/ ⚫ 3D displays ⚫ Possible future research ⚫ Classification based on 3D information ⚫ Content search 3D based on 3D keys ⚫ Merging with sound information
Motivation ●Ve live in a3 D world We see 2D images but perceive the world in 3D Intelligent robot should have this 3D reconstruction capability 3D computer vision techniques v.4b2 5
3D computer vision techniques v.4b2 5 Motivation ⚫ We live in a 3D world ⚫ We see 2D images but perceive the world in 3D ⚫ Intelligent robot should have this 3D reconstruction capability