Estimation of a 3D Motion Field from a Multi-Camera Array using a Multiresolution Gaussian Mixture Model
Wilson, Roland, 1949-, Bowen, A., Mullins, A. and Rajpoot, Nasir M. (Nasir Mahmood) (2008) Estimation of a 3D Motion Field from a Multi-Camera Array using a Multiresolution Gaussian Mixture Model. In: Workshop on Multi-camera and Multi-modal Sensor Fusion: Algorithms and Applications, Marseille, France, 18 October, 2008Full text not available from this repository.
Official URL: http://hal.inria.fr/inria-00326787
The problem of modelling geometry for video based rendering has been much studied in recent years, due to the growing interest in 'free viewpoint' video and similar applications. Common approaches fall into two categories: those which approximate surfaces from dense depth maps obtained by generalisations of stereopsis and those which employ an explicit geometric representation such as a mesh. While the former have generality with respect to geometry, they are limited in terms of viewpoint; the latter, on the other hand, sacrifice generality of geometry for freedom to pick an arbitary viewpoint. The purpose of the work reported here is to bridge this gap in object representation, by employing a stochastic model of object structure: a multiresolution Gaussian mixture. Estimation of the model and tracking it through time from multiple cameras is achieved by a multiresolution stochastic simulation. After a brief outline of the method, its use in modelling human motion using data from local and other sources is presented to illustrate its effectiveness compared to the current state of the art.
|Item Type:||Conference Item (Paper)|
|Subjects:||Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software|
|Divisions:||Faculty of Science > Computer Science|
|Status:||Not Peer Reviewed|
|Conference Paper Type:||Paper|
|Title of Event:||Workshop on Multi-camera and Multi-modal Sensor Fusion: Algorithms and Applications|
|Type of Event:||Workshop|
|Location of Event:||Marseille, France|
|Date(s) of Event:||18 October, 2008|
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