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Active Image Labeling and Its Application to Facial Action Labeling
[chapter]
2008
Lecture Notes in Computer Science
For many tasks in computer vision, it is very important to produce the groundtruth data. At present, this is mostly done manually. Manual data labeling is labor-intensive and prone to the human errors. The training data it produces often lacks in both quantity and quality. Fully automatic data labeling, on the other hand, is not feasible and reliable. In this paper, we propose an interactive image labeling technique for efficient and accurate data labeling. The proposed technique includes two
doi:10.1007/978-3-540-88688-4_52
fatcat:dvxqeeji3ba57ivlq6nyjjwrhe