Name
Abstract | ||
|---|---|---|
This paper presents a comparison of local descriptors for a set of 26 craniofacial landmarks annotated on 144 scans acquired in the context of clinical research. We focus on the accuracy of the different descriptors on a per-landmark basis when constrained to a local search. For most descriptors, we find that the curves of expected error against the search radius have a plateau that can be used to characterize their performance, both in terms of accuracy and maximum usable range for the local search. Six histograms-based descriptors were evaluated: three describing distances and three describing orientations. No descriptor dominated over the rest and the best accuracy per landmark was strongly distributed among 3 of the 6 algorithms evaluated. Ordering the descriptors by average error (over all landmarks) did not coincide with the ordering by most frequently selected, indicating that a comparison of descriptors based on their global behavior might be misleading when targeting facial landmarks. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-33191-6_10 | ADVANCES IN VISUAL COMPUTING, ISVC 2012, PT II |
Keywords | Field | DocType |
local search | USable,Computer vision,Histogram,Pattern recognition,Computer science,Craniofacial,Local reference frame,Artificial intelligence,Local search (optimization),Landmark | Conference |
Volume | ISSN | Citations |
7432 | 0302-9743 | 8 |
PageRank | References | Authors |
0.49 | 11 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Federico Sukno | 1 | 74 | 7.06 |
| John Waddington | 2 | 13 | 1.63 |
| Paul F. Whelan | 3 | 561 | 39.95 |