Computer Vision and Image Understanding
Scattered Data Interpolation with Multilevel B-Splines
IEEE Transactions on Visualization and Computer Graphics
On the Motion and Appearance of Specularities in Image Sequences
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Vanishing Point Detection without Any A Priori Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Visual Modeling with a Hand-Held Camera
International Journal of Computer Vision
Silhouette and stereo fusion for 3D object modeling
Computer Vision and Image Understanding - Model-based and image-based 3D scene representation for interactive visalization
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
The power crust, unions of balls, and the medial axis transform
Computational Geometry: Theory and Applications
Incremental unsupervised three-dimensional vehicle model learning from video
IEEE Transactions on Intelligent Transportation Systems
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Computing high quality 3D models from multi-view stereo reconstruction is an active topic as can be seen in a recent review [15]. Most approaches make the strong assumption that the surface is Lambertian. In the case of a car, this hypothesis is not satisfied. Cars contain transparent parts and metallic surfaces that are highly reflective. To face these difficulties, we propose an approach to robustly reconstruct a 3D object in translation. Our contribution is a one-dimensional tracker that uses the vanishing point computed in a first pass. We applied it to video sequences of cars recorded from a static camera. Then, we introduce a local frame for the car and use it for creating a 3D rough model. The final result is sufficient for some applications where it is needed to estimate the size of the vehicle. This model can also be used as an initialization for more precise algorithms.