Paper Info
Title
Estimation of 3D object structure, motion and rotation based on 4D affine optical flow using a multi-camera array
Abstract
In this paper we extend a standard affine optical flow model to 4D and present how affine parameters can be used for estimation of 3D object structure, 3D motion and rotation using a 1D camera grid. Local changes of the projected motion vector field are modelled not only on the image plane as usual for affine optical flow, but also in camera displacement direction, and in time. We identify all parameters of this 4D fully affine model with terms depending on scene structure, scene motion, and camera displacement. We model the scene by planar, translating, and rotating surface patches and project them with a pinhole camera grid model. Imaged intensities of the projected surface points are then modelled by a brightness change model handling illumination changes. Experiments demonstrate the accuracy of the new model. It outperforms not only 2D affine optical flow models but range flow for varying illumination. Moreover we are able to estimate surface normals and rotation parameters. Experiments on real data of a plant physiology experiment confirm the applicability of our model.
Year
DOI
Venue
2010
10.1007/978-3-642-15561-1_43
ECCV (4)
Keywords
Field
DocType
camera displacement,affine parameter,affine optical flow model,affine model,object structure,affine optical flow,pinhole camera grid model,brightness change model,standard affine optical flow,new model,camera displacement direction,multi-camera array,optical flow,plant physiology
Affine transformation,Affine shape adaptation,Pinhole camera,Computer vision,Motion field,Harris affine region detector,Computer science,Image plane,Artificial intelligence,Motion estimation,Optical flow
Conference
Volume
ISSN
ISBN
6314
0302-9743
3-642-15560-X
Citations 
PageRank 
References 
3
0.44
14
Authors
2
Name
Order
Citations
PageRank
Tobias Schuchert19312.21
Hanno Scharr243037.92