Title | Object reconstruction and pose indexing by volume feedback |
Publication Type | Conference Paper |
Year of Publication | 2003 |
Authors | Avanaki, A. N., B. Hamidzadeh, and F. Kossentini |
Conference Name | Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on |
Pagination | II - 13-16 vol.3 |
Date Published | sep. |
Keywords | 3D object tracking, content-based retrieval, image reconstruction, image retrieval, image sequences, image texture, monocular video sequences, object reconstruction, pose indexing, shape-from-silhouette volume reconstruction, video signal processing, volume feedback |
Abstract | Three dimensional reconstruction of a rigid object from monocular video sequences is addressed. Initially object pose is estimated in each image by locating similar (unknown) textures assuming flat depth maps for all input images. Shape-from-silhouette Szeliski (1993) is then applied to make a 3-D model (volume), which is used for a new round of pose estimation, this time by a model-based method giving better estimates. Before repeating this process by building a new volume, pose estimates are adjusted to reduce error by maximizing a quality measure for shape-from-silhouette volume reconstruction. The volume feedback is terminated when pose estimates do not change much as compared to those produced by previous iteration. The final output is a pose index (the last set of pose estimates) and a volume. Good performance of the system is shown by several experiments. No model is assumed for the object. Feature points are neither detected nor tracked: no problematic feature matching or correspondence. The high-level pose index generated for input images can be used for content-based retrieval. Our method can be also applied to 3-D object tracking in video. |
URL | http://dx.doi.org/10.1109/ICIP.2003.1246604 |
DOI | 10.1109/ICIP.2003.1246604 |