Exploring the representation capabilities of the HOG descriptor
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
| Originalsprog | Engelsk |
|---|---|
| Titel | 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops) |
| Antal sider | 8 |
| Forlag | IEEE |
| Publikationsdato | 2011 |
| Sider | 1410-1417 |
| ISBN (Trykt) | 978-1-4673-0062-9 |
| ISBN (Elektronisk) | 978-1-4673-0063-6 |
| DOI | |
| Status | Udgivet - 2011 |
| Begivenhed | International Conference of Computer Vision (ICCV) - Barcelona, Spanien Varighed: 8 nov. 2011 → 13 nov. 2011 |
Konference
| Konference | International Conference of Computer Vision (ICCV) |
|---|---|
| Land | Spanien |
| By | Barcelona |
| Periode | 08/11/2011 → 13/11/2011 |
- image recognition, image representation, very large databases, visual databases, CALTECH databases, HOG descriptor, ImageNet, LabelMe, PASCAL databases, SIFT, dense grid of points, impostor image sharing, initial visual appearance, metameric class, noncategory images, object content, object recognition strategies, random images, regional descriptors, representation capabilities, source image, sparse set of points, Educational institutions, Equations, Histograms, Mathematical model, Object recognition, Upper bound, Vectors
Forskningsområder
ID: 48004495