Pose estimation and 3D modeling from video by volume feedback

Alireza Nasiri Avanaki; Babak Hamidzadeh; Faouzi Kossentini

doi:10.1117/12.502887

23 June 2003 Pose estimation and 3D modeling from video by volume feedback

Alireza Nasiri Avanaki, Babak Hamidzadeh, Faouzi Kossentini

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.502887
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

Abstract

Volume reconstruction and pose retrieval of an arbitrary rigid object from monocular video sequences is addressed. Initially, the object pose is estimated in each image by locating similar textures, assuming a flat depth map. Then shape-from-silhouette is used to make a volume (3-D model). This volume is used in a new round of pose estimations, this time by a model-based method that gives better estimates. Before repeating this process by building a new volume, pose estimates are adjusted to reduce error by maximizing a novel quality measure for shape-from-silhouette volume reconstruction. The feedback loop is terminated when pose estimates do not change much, as compared to those produced by the previous iteration. Based on the theoretical study of the proposed system, a test of convergence to a given set of poses is devised. Reliable performance of the system is also proved by several experiments. No model is assumed for the object. Feature points are neither detected nor tracked, as there is no problematic feature matching or correspondence. Our method can be also applied to 3-D object tracking in video.

Citation Download Citation

Alireza Nasiri Avanaki, Babak Hamidzadeh, and Faouzi Kossentini "Pose estimation and 3D modeling from video by volume feedback", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.502887

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