Abstract
Recently, with the increasing of unhealthy diets and the attracted attention for healthy life, how to manage the dietary life is becoming more and more important. In this paper, we aim to construct a system, which can auto-recognize the menu contents from food image taken by mobile phone. As we know that the viewpoints can be varied in any direction when taking food images, and then, rotation-robust features for image representation are very important. Therefore, in this paper, we propose to extract rotation invariant features using circle-segmentation called SPIN for food recognition, and construct a Food-Log system, which records the contents of food menu, calories and nutritional value for management of the dietary life.
| Original language | English |
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| Title of host publication | Proceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011 |
| Pages | 874-877 |
| Number of pages | 4 |
| Publication status | Published - 2011 |
| Externally published | Yes |
| Event | 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011 - Seogwipo, Jeju Island, Korea, Republic of Duration: 29 Nov 2011 → 1 Dec 2011 |
Publication series
| Name | Proceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011 |
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Conference
| Conference | 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011 |
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| Country/Territory | Korea, Republic of |
| City | Seogwipo, Jeju Island |
| Period | 29/11/11 → 1/12/11 |
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Wazumi, M., Han, X. H., Ai, D., & Chen, Y. W. (2011). Auto-recognition of food images using SPIN feature for food-log system. In Proceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011 (pp. 874-877). Article 6316741 (Proceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011).