| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0363966 |
| utime |
20240103195509.0 |
| mtime |
20110916235959.9 |
| WOS |
000300567300024 |
| SCOPUS |
80052813548 |
| DOI |
10.1007/978-3-642-23678-5_24 |
| title
(primary) (eng) |
Tensor Method for Constructing 3D Moment Invariants |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0363965 |
| ISBN |
978-3-642-23677-8 |
| ISSN |
0302-9743 |
| title
|
Computer Analysis of Images and Patterns, Proceedings |
| part_num |
2 |
| page_num |
212-219 |
| publisher |
| place |
Berlin, Heidelberg |
| name |
Springer |
| year |
2011 |
|
| editor |
|
| editor |
| name1 |
Diaz-Pernil |
| name2 |
D. |
|
| editor |
| name1 |
Molina-Abril |
| name2 |
H. |
|
| editor |
|
| editor |
|
|
| keyword |
recognition |
| keyword |
tensor |
| keyword |
moment |
| keyword |
rotation |
| keyword |
invariant |
| keyword |
3D |
| author
(primary) |
| ARLID |
cav_un_auth*0101203 |
| name1 |
Suk |
| name2 |
Tomáš |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Department of Image Processing |
| department (cz) |
ZOI |
| department (eng) |
ZOI |
| institution |
UTIA-B |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101087 |
| name1 |
Flusser |
| name2 |
Jan |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| 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 |
GAP103/11/1552 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0273618 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
A generalization from 2D to 3D of the tensor method for derivation of both affine invariants and translation, rotation, and scaling (TRS) invariants is described. The method for generation of the 3D TRS invariants of higher orders is automated and experimentally tested. The enumeration of all possible tensor products is done by the graph method and the linearly dependent invariants are eliminated. |
| action |
| ARLID |
cav_un_auth*0274218 |
| name |
Computer Analysis of Images and Patterns, CAIP |
| place |
Seville |
| dates |
29.08.2011-31.08.2011 |
| country |
ES |
|
| reportyear |
2012 |
| RIV |
IN |
| num_of_auth |
2 |
| permalink |
http://hdl.handle.net/11104/0199573 |
| mrcbC86 |
n.a. Proceedings Paper Computer Science Artificial Intelligence|Computer Science Theory Methods|Engineering Electrical Electronic |
| mrcbT16-q |
100 |
| mrcbT16-s |
0.336 |
| mrcbT16-y |
16.35 |
| mrcbT16-x |
0.4 |
| arlyear |
2011 |
| mrcbU14 |
80052813548 SCOPUS |
| mrcbU34 |
000300567300024 WOS |
| mrcbU63 |
cav_un_epca*0363965 Computer Analysis of Images and Patterns, Proceedings 2 978-3-642-23677-8 0302-9743 212 219 Berlin, Heidelberg Springer 2011 Lecture Notes in Computer Science 6855 |
| mrcbU67 |
Real P. 340 |
| mrcbU67 |
Diaz-Pernil D. 340 |
| mrcbU67 |
Molina-Abril H. 340 |
| mrcbU67 |
Berciano A. 340 |
| mrcbU67 |
Kropatsch W. 340 |
|