Abstract
In this paper we present a new approach for modelling scenes with multiple 3D objects from images taken from various viewpoints. Such images are segmented using either supervised or unsupervised algorithms. We consider the mean-shift and support vector machines for image segmentation using the colour and texture as features. Back-projections of segmented contours are used to enforce the consistency of the segmented contours with initial estimates of the 3D scene. A study for detecting merged objects in 3D scenes is provided as well.
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Grum, M., Bors, A.G. (2013). Enforcing Consistency of 3D Scenes with Multiple Objects Using Shape-from-Contours. In: Wilson, R., Hancock, E., Bors, A., Smith, W. (eds) Computer Analysis of Images and Patterns. CAIP 2013. Lecture Notes in Computer Science, vol 8047. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40261-6_65
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DOI: https://doi.org/10.1007/978-3-642-40261-6_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40260-9
Online ISBN: 978-3-642-40261-6
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