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Evaluation of Model based Tracking with TrakMark Dataset

A. Petit 1 Guillaume Caron 2 H. Uchiyama 1 E. Marchand 1 
1 Lagadic - Visual servoing in robotics, computer vision, and augmented reality
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : We benchmark two tracking methods developed in the INRIA Lagadic team with a TrakMark dataset. Since these methods are based on a 3D model based approach, we selected a dataset named ''Conference Venue Package 01'' that includes a 3D textured model of a scene. For the evaluation. we compute the error of 3D rotation and translation with the ground truth transformation matrix. Through these evaluations, we confirmed that the provided dataset was suitable for quantitative evaluations of 3D visual tracking.
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Submitted on : Wednesday, November 9, 2011 - 5:46:52 PM
Last modification on : Thursday, January 20, 2022 - 4:20:28 PM
Long-term archiving on: : Friday, February 10, 2012 - 2:37:16 AM


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  • HAL Id : hal-00639700, version 1


A. Petit, Guillaume Caron, H. Uchiyama, E. Marchand. Evaluation of Model based Tracking with TrakMark Dataset. 2nd Int. Workshop on AR/MR Registration, Tracking and Benchmarking, 2011, Basel, Switzerland, Switzerland. ⟨hal-00639700⟩



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