Download

Panoramic Change Detection Dataset

Currently under restoration.

Change Detection Dataset

This dataset contains the image sequences of city streets captured by a vehicle-mounted camera at two different time points. We make them publicly available for the researchers who are interested in the problem of the image-based detection of temporal changes of 3D scene structures. Although we own its copyright, you can freely use it for research purposes […]

Read more…

PMVS2Dataset

The dataset can be downloaded from here.

MATLAB code of the damped Wiberg method

Important note: We have realized that the code distributed below is a wrong version (3/28/2014). The MATLAB function damped_wiberg() does not achieve the performance we reported in our ICCV paper. You can download the correct version from here, which is a zip file containing a single MATLAB function that replaces damped_wiberg() in the packages below. We are sorry for any incovenience caused.

—

You can download the MATLAB code of the damped Wiberg method from here.

The zip file contains a MATLAB function that factorizes a given matrix Y into U*V’, a product of two smaller matrices of rank r. To be specific, it minimizes ||H \odot (Y – U*V’)||_2 for specified data Y, H, and r, where Y is the matrix to be factorized, H is the binary matrix indicating existing (1) and missing (0) components of Y, and r is the number of columns of U and V. For more detail, see the source code.

For the details of the implementation, please see our paper below.

[1] Takayuki Okatani, Takahiro Yoshida, Koichiro Deguchi: Efficient algorithm for low-rank matrix factorization with missing components and performance comparison of latest algorithms. Proc, ICCV 2011: 842-849. [pdf]