| bibtype |
J -
Journal Article
|
| ARLID |
0085584 |
| utime |
20240103184420.7 |
| mtime |
20070912235959.9 |
| title
(primary) (eng) |
Polygonal shape description for recognition of partially occluded objects |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0257389 |
| ISSN |
0167-8655 |
| title
|
Pattern Recognition Letters |
| volume_id |
28 |
| volume |
9 (2007) |
| page_num |
1002-1011 |
| publisher |
|
|
| title
(cze) |
Polygonální popis tvarů pro rozpoznávání částečně zakrytých objektů |
| keyword |
Occluded object recognition |
| keyword |
Polygonal approximation |
| keyword |
Affine invariant |
| author
(primary) |
| ARLID |
cav_un_auth*0059712 |
| name1 |
Krolupper |
| name2 |
F. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0101087 |
| name1 |
Flusser |
| name2 |
Jan |
| institution |
UTIA-B |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
1M0572 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0001814 |
|
| project |
| project_id |
GA102/04/0155 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0001806 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
We introduce a new method for the recognition of partially occluded objects represented only by their contours. Object description, which stems from the inflection point detection, approximates the object by polygon and is affine invariant. The matching algorithm is simple and easy to implement. |
| abstract
(cze) |
Byla vyvinuta nová metoda pro rozpoznávání částečně zakrytých objektů. |
| reportyear |
2008 |
| RIV |
JD |
| permalink |
http://hdl.handle.net/11104/0148064 |
| mrcbT16-f |
1.255 |
| mrcbT16-g |
0.074 |
| mrcbT16-h |
6 |
| mrcbT16-i |
0.01118 |
| mrcbT16-j |
0.442 |
| mrcbT16-k |
2748 |
| mrcbT16-l |
257 |
| mrcbT16-q |
82 |
| mrcbT16-s |
1.217 |
| mrcbT16-y |
22.95 |
| mrcbT16-x |
2.23 |
| arlyear |
2007 |
| mrcbU63 |
cav_un_epca*0257389 Pattern Recognition Letters 0167-8655 1872-7344 Roč. 28 č. 9 2007 1002 1011 Elsevier |
|