Search
Abstract
Method for profile view retrieving of the human face is presented. The depth data from the 3D camera is taken as an input. The preprocessing is, besides of standard filtration, extended by the process of filling of the holes which are present in depth data. The keypoints, defined as the nose tip and the chin are detected in user’s face and tracked. The Kalman filtering is applied to smooth the coordinates of those points which can vary with each frame because of the subject’s movement in front of the camera. Knowing the locations of keypoints and having the depth data the contour of the user’s face a profile retrieval is attempted. Further filtering and modifications are introduced to the profile view in order to enhance its representation. Data processing enhancements allow emphasizing minima and maxima in the contour signals leading to discrimination of the face profiles and enable robust facial landmarks tracking.
Citations
-
4
CrossRef
-
0
Web of Science
-
5
Scopus
Authors (2)
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- Pattern Recognition and Machine Intelligence strony 159 - 168
- Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Bratoszewski P., Czyżewski A.: Face Profile View Retrieval Using Time of Flight Camera Image Analysis// Pattern Recognition and Machine Intelligence/ ed. Marzena Kryszkiewicz : Springer, 2015, s.159-168
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-319-19941-2_16
- Verified by:
- Gdańsk University of Technology
seen 112 times
Recommended for you
Analysis of Methods for Determining Shallow Waterbody Depths Based on Images Taken by Unmanned Aerial Vehicles
- M. Specht,
- M. Wiśniewska,
- A. Stateczny
- + 6 authors