4. Motivation and
Problem Statement
The present conditions:
Wall Floor Difficult for
Reconstruction
and
The improvement of the problem :
3D reconstruction
in indoor environment closer
5. Related Work
The result of past study of 3D reconstruction in indoor environment :
This system uses existing some packages and algorithms
Study of the comparison of SIFT and 2DCDP performed in the past :
This study shows utility of 2DCDP from a result of
provided Matching points and Number of
polygons.
6. Method
Apply a common image data set to two packages :
1. Bundler Structure from Motion package (SIFT case)
- Developed by Noah Snavely
- SIFT algorithm can describe characteristics of feature
points that are invariant to scale and rotation changes. One of data image
2. 2DCDP by my Lab
- Developed by Yaguchi, Iseki, and Oka
- 2DCDP preserves 2D pixel correlation and assures
continuity and monotonicity in the input image.
Search
・ Matching points
・ Calculation time
7. Result
- Case of SIFT
The data obtained
・ Matching points : 75,000 points
・ Calculation time : 24 hours Details still under investigation
The reconstructed 3D image by obtained data
Panel
Bookshelf
Three lines of desks
PC rack
8. Result
- Case of 2DCDP
The data obtained
・ Matching points :
・ Calculation time : //I'm sorry. My experiment is not yet over.
