Project Presentation #3 - UCF CRCV

Project Presentation #3 - UCF CRCV

Project Presentation Week 4 By: Joshua Michalczak, 10 June 2010 For: Computer Vision R.E.U. at University of Central Florida Topic Overview Structure from motion Derive a scenes 3D

nature from a series of 2D observations Use changes in object locations to derive depth 2 main methods of achieving SfM: From object flow, think 4 camera device

From planar homography, think Photosynth Topic Overview Exploring uses of SfM 4 camera device

aware of environment structure Segmenting object movement from environment movement for better global flow SLAM techniques

Papers: Single Camera SfM w/ automatic baseline selection MonoSLAM FastSLAM

Results so far: KLT Feature Detection Results so far: KLT Feature Matching - Flow Results so far: KLT Feature Matching - Diff Results so far:

KLT Feature Matching - Diff (2) Future work CVPR 2010: Tutorial on 3D shape reconstruction Monday morning

Shape-from-X program Continue to implement SingleCamera SfM RANSAC for better matching results Derive camera location based on correspondance

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