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Innovations for Shape Analysis, Models and Algorithms

Point cloud segmentation and denoising via constrained least squares normal estimates

Publication ,  Chapter
Zhao, H; Castillo, E; Liang, J
2013

Duke Scholars

DOI

Publication Date

2013

Start / End Page

283 / 299

Publisher

Springer
 

Citation

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Zhao, H., Castillo, E., & Liang, J. (2013). Point cloud segmentation and denoising via constrained least squares normal estimates. In M. Breuß, A. Bruckstein, & P. Maragos (Eds.), Innovations for Shape Analysis,Models and Algorithms (pp. 283–299). Springer. https://doi.org/10.1007/978-3-642-34141-0
Zhao, Hongkai, Edward Castillo, and Jian Liang. “Point cloud segmentation and denoising via constrained least squares normal estimates.” In Innovations for Shape Analysis,Models and Algorithms, edited by Michael Breuß, Alfred Bruckstein, and Petros Maragos, 283–99. Springer, 2013. https://doi.org/10.1007/978-3-642-34141-0.
Zhao H, Castillo E, Liang J. Point cloud segmentation and denoising via constrained least squares normal estimates. In: Breuß M, Bruckstein A, Maragos P, editors. Innovations for Shape Analysis,Models and Algorithms. Springer; 2013. p. 283–99.
Zhao, Hongkai, et al. “Point cloud segmentation and denoising via constrained least squares normal estimates.” Innovations for Shape Analysis,Models and Algorithms, edited by Michael Breuß et al., Springer, 2013, pp. 283–99. Manual, doi:10.1007/978-3-642-34141-0.
Zhao H, Castillo E, Liang J. Point cloud segmentation and denoising via constrained least squares normal estimates. In: Breuß M, Bruckstein A, Maragos P, editors. Innovations for Shape Analysis,Models and Algorithms. Springer; 2013. p. 283–299.

DOI

Publication Date

2013

Start / End Page

283 / 299

Publisher

Springer