Shape Recovery from an Image Sequence and a Gyro Sensor
Our study is the recovery of 3D shape from an image sequence. For
example, your favorite building can be reconstructed and seen from a new
viewpoint in a computer. In order to improve accuracy, we attached an
acceleration-gyro sensor to the camera and used sensor fusion technique.
Please see slides for explanation in
English or in Japanese (0.9MBytes).
Please see our demo movie
(5.4MBytes, mpeg format).
References:
- Toshiharu Mukai and Noboru Ohnishi: "The Recovery of Object Shape
and Camera Motion Using a Sensing System with a Video Camera and a
Gyro Sensor," Proceedings of the 7th IEEE International Conference on
Computer Vision (ICCV'99), Kerkyra, Greece, September 20-27, 1999
(accepted). PostScript file (gzipped,
1.5Mbytes)
- Toshiharu Mukai and Noboru Ohnishi: "Sensor Fusion of a CCD Camera
and an Acceleration-Gyro Sensor for the Recovery of Three-Dimensional
Shape and Scale," Proceedings of the 2nd International Conference on
Information Fusion (FUSION'99), pp.221-228, California, USA, July
6-8, 1999. PostScript file (gzipped,
486Kbytes)
![[Picture](../images/vrccdsml.jpg)
Our sensor system consists of the CCD camera
and the acceleration-gyro sensor
![[Original](original.gif)
An image from the original image sequence
![[Recovered](recovered.gif)
The recovered structure seen from a new viewpoint