Reconstruction from Uncalibrated Sequences with a Hierarchy of Trifocal Tensors

This paper considers projective reconstruction with a hierarchical computational structure of trifocal tensors that integrates feature tracking and geometrical validation of the feature tracks. The algorithm was embedded into a system aimed at completely automatic Euclidean reconstruction from uncalibrated handheld amateur video sequences. The algorithm was tested as part of this system on a number of sequences grabbed directly from a low-end video camera without editing. The proposed approach can be considered a generalisation of a scheme of [Fitzgibbon and Zisserman, ECCV `98]. The proposed scheme tries to adapt itself to the motion and frame rate in the sequence by finding good triplets of views from which accurate and unique trifocal tensors can be calculated. This is in contrast to the assumption that three consecutive views in the video sequence are a good choice. Using trifocal tensors with a wider span suppresses error accumulation and makes the scheme less reliant on bundle a...

• Type: Conference
• Year: 2000
• Where: ECCV
• Authors: David Nistér
• Keywords: Amateur Video Sequences, Computer Vision, ECCV 2000, Hierarchical Computational Structure, Suppresses Error Accumulation, Trifocal Tensors, Unique Trifocal Tensors