@inproceedings{0886c536a2df450ab9babf8a6b2ceb0d,
title = "Salient view selection based on sparse representation",
abstract = "A sparse representation-based approach is proposed to find the salient views of 3D objects. Under the assumption that a meaningful object can appear in several perceptible views, we build the object's approximate convex shape that exhibits these apparent views. The salient views are categorized into two groups. The first are boundary representative views that have several visible sides and object surfaces attractive to human perceivers. The second are side representative views that best represent views from sides of the approximating convex shape. The side representative views are class-specific views that possess the most representative power compared to other within-class views. Using the concept of characteristic view class, we first present a sparse representation-based approach for estimating the boundary representative views. With the estimated boundaries, we determine the side representative view(s) based on a minimum reconstruction error.",
keywords = "characteristic view class, compressive sensing, Salient view, sparse representation, view geometry",
author = "Chen, {Yi Chen} and Patel, {Vishal M.} and Rama Chellappa and Phillips, {P. Jonathon}",
year = "2012",
doi = "10.1109/ICIP.2012.6466943",
language = "English (US)",
isbn = "9781467325332",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "649--652",
booktitle = "2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings",
note = "2012 19th IEEE International Conference on Image Processing, ICIP 2012 ; Conference date: 30-09-2012 Through 03-10-2012",
}