Extraction of 3D Unfoliaged Trees from Image Sequences Via a Generative Statistical Approach

Abstract

In this paper we propose a generative statistical approach for the three dimensional (3D) extraction of the branching structure of unfoliaged deciduous trees from urban image sequences. The trees are generatively modeled in 3D by means of L-systems. A statistical approach, namely Markov Chain Monte Carlo – MCMC is employed together with cross correlation… (More)
DOI: 10.1007/978-3-540-74936-3_39

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