Name
Abstract | ||
|---|---|---|
To explore the phenotypic model of human life activities and deeply analyze changes in life phenotype, phenotypic analysis of modal animals plays a great important part in the study of human life. However, automation and intelligence are still a challenge problem in practice. Due to high adaptability to the complex environments, computer vision technology can effectively improve the automation and intelligence performance in phenotypic analysis system. In this paper, to effectively apply computer vision technology in the field of phenotypic analysis, we systematically summarize the research progress of modal pig-body phenotype detection in the computer vision technology based on three kinds of pattern, namely, (1) visible pattern; (2) thermal infrared pattern; (3) depth pattern. Based on further analysis of methods, we carry out comprehensive study for exploring pig-body phenotype detection by solving multiple problems.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3331453.3361285 | Proceedings of the 3rd International Conference on Computer Science and Application Engineering |
Keywords | Field | DocType |
Computer vision technology, Depth patterns, Modal animal, Phenotypic analysis, Thermal infrared patterns, Visible patterns | Phenotype,Biology,Computational biology,Modal | Conference |
ISBN | Citations | PageRank |
978-1-4503-6294-8 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Minjuan Wang | 1 | 304 | 41.52 |
| Zhen Zhong | 2 | 0 | 0.34 |
| Wanlin Gao | 3 | 6 | 7.58 |