QuickTime VR: an image-based approach to virtual environment navigation
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Creating full view panoramic image mosaics and environment maps
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
International Journal of Computer Vision
Multiple view geometry in computer vision
Multiple view geometry in computer vision
FlyAbout: spatially indexed panoramic video
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Constrained Structure and Motion From Multiple Uncalibrated Views of a Piecewise Planar Scene
International Journal of Computer Vision
Accurate internal camera calibration using rotation, with analysis of sources of error
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
3DIM '05 Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling
Automatic Panoramic Image Stitching using Invariant Features
International Journal of Computer Vision
Image-Based Interactive Exploration of Real-World Environments
IEEE Computer Graphics and Applications
Efficient, causal camera tracking in unprepared environments
Computer Vision and Image Understanding
Single view metrology from scene constraints
Image and Vision Computing
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Computing world distances of scene features from the captured images is a common task in image analysis and scene understanding. Projective geometry based methods focus on measuring distance from one single image, the scope of measurable scene is limited by the field-of-view (FOV) of one single camera. With a full view panorama, the scope of measurable scene is no longer limited by FOV. However, the scope of measurable scene is limited by the fixed capture location of a single panorama. In this paper, we propose one method of measuring distances of line segments in real world scene using panoramic video representation. The scope of measurable scene is largely extended without the limitation of FOV and a fixed capture location. A prototype system called PV Measure is developed to allow user to interactively measure the distances of line segments in a panoramic video. Experiment results verify that the method offers good accuracy.