Fusion of Range and Stereo Data for High-Resolution Scene-ModelingReportar como inadecuado

Fusion of Range and Stereo Data for High-Resolution Scene-Modeling - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

* Corresponding author 1 PERCEPTION - Interpretation and Modelling of Images and Videos Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble 2 School of Electronic Engineering and Computer Science EECS - School of Electronic Engineering and Computer Science

Abstract : This paper addresses the problem of range-stereo fusion, for the construction of high-resolution depth maps. In particular, we combine low-resolution depth data with high-resolution stereo data, in a maximum a posteriori MAP formulation. Unlike existing schemes that build on MRF optimizers, we infer the disparity map from a series of local energy minimization problems that are solved hierarchically, by growing sparse initial disparities obtained from the depth data. The accuracy of the method is not compromised, owing to three properties of the data-term in the energy function. Firstly, it incorporates a new correlation function that is capable of providing refined correlations and disparities, via subpixel correction. Secondly, the correlation scores rely on an adaptive cost aggregation step, based on the depth data. Thirdly, the stereo and depth likelihoods are adaptively fused, based on the scene texture and camera geometry. These properties lead to a more selective growing process which, unlike previous seed-growing methods, avoids the tendency to propagate incorrect disparities. The proposed method gives rise to an intrinsically efficient algorithm, which runs at 3FPS on 2.0MP images on a standard desktop computer. The strong performance of the new method is established both by quantitative comparisons with state-of-the-art methods, and by qualitative comparisons using real depth-stereo data-sets.

Keywords : stereo matching sensor fusion 3D reconstruction time-of-flight cameras seed-growing range data

Autor: Georgios Evangelidis - Miles Hansard - Radu Horaud -

Fuente: https://hal.archives-ouvertes.fr/


Documentos relacionados