Paper Info
Title
A Fast and Accurate Approach for Computing the Dimensions of Boxes from Single Perspective Images.
Abstract
This paper describes an accurate method for com- puting the dimensions of boxes directly from perspective projection images acquired by conventional cameras. The approach is based on projective geometry and computes the box dimensions using data extracted from the box si- lhouette and from the projection of two parallel laser be- ams on one of the imaged faces of the box. In order to identify the box silhouette, we have developed a statis- tical model for homogeneous-background-color removal that works with a moving camera, and an efficient voting scheme for the Hough transform that allows the identifi- cation of almost collinear groups of pixels. We demons- trate the effectiveness of the proposed approach by auto- matically computing the dimensions of real boxes using a scanner prototype that implements the algorithms and methods described in the paper. We also present a discus- sion of the performed measurements, and an error propa- gation analysis that allows the method to estimate, from each single video frame, the uncertainty associated to all measurements made over that frame, in real-time.
Year
DOI
Venue
2006
10.1590/S0104-65002006000300003
J. Braz. Comp. Soc.
Keywords
Field
DocType
statistical model,hough transform,error propagation,uncertainty analysis,perspective projection,projective geometry,real time
Propagation of uncertainty,Computer graphics (images),Projective geometry,Silhouette,Computer science,Artificial intelligence,Computer vision,Data structure,Hough transform,Perspective (graphical),Statistical model,Pixel,Cartography
Journal
Volume
Issue
ISSN
12
2
1678-4804
Citations 
PageRank 
References 
3
0.60
11
Authors
4
Name
Order
Citations
PageRank
Leandro A. F. Fernandes120616.22
Manuel M. Oliveira2149493.31
Roberto da Silva38813.06
Gustavo J. Crespo430.60