Abstract
In this paper, we propose a novel method to generate the hallucinated multi-views of faces using the sparse-representation model. In order to render a faithful virtual view, we introduce centralized constraints into a variation framework for optimization. The constraints are formulated based on an attempt to minimize the difference between the sparse-coding coefficients derived for two distinct views. In our algorithm, sift optical-flow method is employed to formulate the constraints. An input face is firstly sparsely coded over a given dictionary, and then the sparse-coding coefficients for the input face are refined through an optimization framework with the centralized constraints. Intensive experimental results demonstrate that our proposed method can perform well in terms of both reconstruction accuracy and visual quality..
Original language | English |
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Title of host publication | 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings |
Pages | 2202-2206 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 18 Oct 2013 |
Event | 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada Duration: 26 May 2013 → 31 May 2013 |
Conference
Conference | 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 |
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Country/Territory | Canada |
City | Vancouver, BC |
Period | 26/05/13 → 31/05/13 |
Keywords
- Face Hallucination
- Multi-view
- Sparse Representation
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering