From omnidirectional images to hierarchical localization
Robotics and Autonomous Systems
Active shape model-based object tracking in panoramic video
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
Camera pose estimation of a smartphone at a field without interest points
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
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This paper proposes a general scheme for recognizing the contents of a video using a set of panoramas recorded in a database. In essence, a panorama inherently records the appearances of an omni-directional scene from its central point to arbitrary viewing directions and, thus, can serve as a compact representation of an environment. In particular, this paper emphasizes the use of a sequence of successive frames in a video taken with a video camera, instead of a single frame, for visual recognition. The associated recognition task is formulated as a shortest-path searching problem, and a dynamic-programming technique is used to solve it. Experimental results show that our method can effectively recognize a video.