A
Andrea Bottino
Researcher at Polytechnic University of Turin
Publications - 103
Citations - 1307
Andrea Bottino is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Augmented reality & Visual hull. The author has an hindex of 18, co-authored 100 publications receiving 1095 citations. Previous affiliations of Andrea Bottino include University of Turin.
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Proceedings ArticleDOI
The FG 2015 Kinship Verification in the Wild Evaluation
Jiwen Lu,Junlin Hu,Venice Erin Liong,Xiuzhuang Zhou,Andrea Bottino,Ihtesham Ul Islam,Tiago Figueiredo Vieira,Xiaoqian Qin,Xiaoyang Tan,Songcan Chen,Shahar Mahpod,Yosi Keller,Lilei Zheng,Khalid Idrissi,Christophe Garcia,Stefan Duffner,Atilla Baskurt,Modesto Castrillón-Santana,Javier Lorenzo-Navarro +18 more
TL;DR: Most of the participants tackled the image-restricted challenge and experimental results demonstrated better kinship verification performance than the baseline methods provided by the organizers.
Journal ArticleDOI
Computer analysis of face beauty: A survey☆
Aldo Laurentini,Andrea Bottino +1 more
TL;DR: The purpose of this paper is to survey recent research on the computer analysis of human beauty and present results in human sciences and medicine pointing to a largely shared and data-driven perception of attractiveness, which is a rationale of computer beauty analysis.
Journal ArticleDOI
Detecting siblings in image pairs
TL;DR: A comprehensive investigation on which are, on the average, the most relevant facial features, how effective can be computer algorithms for detecting siblings pairs, and if they can outperform human evaluation.
Journal ArticleDOI
A Silhouette Based Technique for the Reconstruction of Human Movement
Andrea Bottino,Aldo Laurentini +1 more
TL;DR: A novel non-intrusive technique able to reconstruct unconstrained motion is presented, from multiple-viewpoint images taken with an ordinary camera a 3D reconstruction is computed with a technique known as volume intersection.
Journal ArticleDOI
Subclass Discriminant Analysis of morphological and textural features for HEp-2 staining pattern classification
Santa Di Cataldo,Andrea Bottino,Ihtesham Ul Islam,Tiago Figueiredo Vieira,Tiago Figueiredo Vieira,Elisa Ficarra +5 more
TL;DR: This work proposes a classification approach based on Subclass Discriminant Analysis (SDA), a dimensionality reduction technique that provides an effective representation of the cells in the feature space, suitably coping with the high within-class variance typical of HEp-2 cell patterns.