QuickTime VR: an image-based approach to virtual environment navigation
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Plenoptic modeling: an image-based rendering system
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Rendering with concentric mosaics
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
IEEE MultiMedia
Dynamic Programming
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
3D Modeling of Outdoor Environments by Integrating Omnidirectional Range and Color Images
3DIM '05 Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling
ISMAR '05 Proceedings of the 4th IEEE/ACM International Symposium on Mixed and Augmented Reality
Removal of moving objects and inconsistencies in color tone for an omnidirectional image database
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
Generation of an omnidirectional video without invisible areas using image inpainting
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
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This paper describes a method of stereoscopic view generation by image-based rendering in wide outdoor environments. The stereoscopic view can be generated from an omnidirectional image sequence by a light field rendering approach which generates a novel view image from a set of images. The conventional methods of novel view generation have a problem such that the generated image is distorted because the image is composed of parts of several omnidirectional images captured at different points. To overcome this problem, we have to consider the distances between the novel viewpoint and observed real objects in the rendering process. In the proposed method, in order to reduce the image distortion, stereoscopic images are generated considering depth values estimated by dynamic programming (DP) matching using the images that are observed from different points and contain the same ray information in the real world. In experiments, stereoscopic images in wide outdoor environments are generated and displayed.