NIST · ИТ · 8f41b32079fb9e9e792f
Persistence-based Structural Recognition
This paper presents a framework for object recognition using topological persistence. In particular, we show that the so-called persistence diagrams built from functions defined on the objects can serve as compact and informative descriptors for images and
NIST · ИТОфициальный источник · 2014-06-28
{
"title_en": "Persistence-based Structural Recognition",
"designation": "",
"series": "",
"status": "",
"date": "2014-06-28",
"date_original": "June 28, 2014",
"url": "https://www.nist.gov/publications/persistence-based-structural-recognition",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Chunyuan Li",
"abstract_excerpt_en": "This paper presents a framework for object recognition using topological persistence. In particular, we show that the so-called persistence diagrams built from functions defined on the objects can serve as compact and informative descriptors for images and",
"id": "8f41b32079fb9e9e792f",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "Persistence-based Structural Recognition",
"designation": "",
"series": "",
"status": "",
"date": "2014-06-28",
"date_original": "June 28, 2014",
"url": "https://www.nist.gov/publications/persistence-based-structural-recognition",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Chunyuan Li",
"abstract_excerpt_en": "This paper presents a framework for object recognition using topological persistence. In particular, we show that the so-called persistence diagrams built from functions defined on the objects can serve as compact and informative descriptors for images and"
}
],
"translation_state": "none"
}