Introduction
Here, we provide interested researchers a realworld multiview test data set
captured in the bluec portals.
The data is meant to be used
for testing reconstruction/rendering algorithms based on multiview
video sequences with consideration of noise and other capturing
device errors. Furthermore, it can be used for testing streaming and
compression techniques since we are also providing depth maps as
calculated by a shapefromsilhouettes method.
The set consists of frame sequences rendered from 16
different camera views located in a hemisphere around the scene, background
images, segmentation masks, depth images, and camera parameters. The
recorded scene contains different humans performing various motions, ranging
from simple and slow movements to kicks and punchs of a KungFu fighter. The
sequences have different lengths and are recorded at
different acquisition frame rates. Each frame is saved as a 640 x 480 image.
Here is an illustration of the bluec portal at ETH Hönggerberg
where all sequences are captured. The numbers indicate the camera
nodes (i.e., arctic1  arctic16).
Bird's eye:
Side views:
Quicktime VR insideout:
Download
Test sequences are available upon request. Please write to wwwgraphinf.ethz.ch for more information.
Camera Calibration
Calibration data from our
multicamera
selfcalibration procedure can be found here. You can also do your own calibration by downloading the calibration sequence. The parameters are
stored according to:
Files (e.g., "arctic3.cal") 
Description 
xxx.cal 
Projection matrix (3x3) & camera center (3x1) for
camera xxx, incl. extrinsic & intrinsic parameters. Can be
directly used to calculate rays from the camera center through
pixels in the image plane. 
xxx.mat 
3x4 euclidean projection matrix for camera
xxx which encodes all linear
parameters. You can use function ./MultiCamValidation/CoreFunctions/P2KRtC.m
of the
multicamera selfcalibration package to decompose it into
the intrinsic parameters in 3x3 K matrix, rotation matrix R and
translation vector t, as well as the position of the camera
center C in the common world coordinate system. 
xxx.rad 
Parameters needed for undoing radial distortion
for camera xxx.
Intrinsic parameters in 3x3 K matrix, and image distortion
coefficients (only radial distortions!) in 4x1 vector kc. They should
be directly applicable in the OpenCV implementation of the
undoing nonlinear distortion. 
We also provide graphical outputs for understanding the setup and
calibration accuracy (which is mostly
around 0.2 pixels reprojection error).
Download calibration data
