By Topic

Line Segment-based Facial Appearance Analysis for Building Image

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Hoang-Hon Trinh ; Graduate Sch. of Electr. Eng., Ulsan Univ. ; Kang-Huyn Jo

This paper describes an approach to analyze the facial appearance of building in image. Detecting the line segments and grouping them make a mesh of parallelograms. The belongings of face as principal component parts (PCPs) as doors, windows, walls are detected by merging neighborhood of parallelograms with similar color. We use MSAC to group such line segments which have a common vanishing point. We calculate one dominant vanishing point for vertical direction and maximally five dominant vanishing points for horizontal direction. The vertical group and one of horizontal groups create a mesh of basic parallelograms. Each mesh represents one face of building. Each face contains windows, doors and the wall. The PCPs are separated into two groups according to their properties. The first one is represented by windows and doors. This group caries geometrical information of building such as how many windows and doors there are. So the robot can measure that how tall and wide the building is. The second one is wall region containing an important visual information such as what color of building is. This information can help the robot to distinguish a building from others. The proposed approach can apply to building detection, recognition and reconstruction.

Published in:

Strategic Technology, The 1st International Forum on

Date of Conference:

18-20 Oct. 2006