Name
Abstract | ||
|---|---|---|
We proposed an algorithm for the tracking of facial feature points based on the block matching algorithm (BMA) with a new shape of window considering the feature point characteristics and scale/angle changes of the face. The window used in the proposed algorithm is the set of pixels in the 8 radial lines of 0degrees, 45degrees, (...) from the feature point, i.e. the window has the shape of cross plus 45degrees rotated cross. This shape of window is shown to be more efficient than the conventional rectangular window in tracking the facial feature points, because the points and their neighbor are not usually the objects of rigid body. But since the feature points are usually on the edges of luminance or color changes, at least one of the radial line crosses the edge and it gives distinct measure for tracking the point. Also the radial line window requires less computational complexity than the rectangular window and more readily adjusted with respect to scale and angle changes. For the estimation of scale changes, the facial region is segmented at each frame using the normalized color, and the number of pixels in the facial region are compared. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1117/12.453025 | VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2002, PTS 1 AND 2 |
Keywords | DocType | Volume |
feature tracking, facial segmentation, block matching algorithm | Conference | 4671 |
ISSN | Citations | PageRank |
0277-786X | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jung S. Kim | 1 | 0 | 0.34 |
| Nam Ik Cho | 2 | 712 | 106.98 |
| Seok-cheol Kee | 3 | 129 | 13.94 |
| Sang Uk Lee | 4 | 1879 | 180.39 |