Introduction View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Stan Z. Li , Anil K. Jain

ABSTRACT

This chapter provides an introduction to face recognition research. Main steps of face recognition processing are described. Face detection and recognition problems are explained from a face subspace viewpoint. Technology challenges are identified after that. Typical strategies for solving the problems are suggested.

PAGES

1-15

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-0-85729-932-1_1

DOI

http://dx.doi.org/10.1007/978-0-85729-932-1_1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1031852499


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China", 
          "id": "http://www.grid.ac/institutes/grid.429126.a", 
          "name": [
            "Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Stan Z.", 
        "id": "sg:person.01072753474.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072753474.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Michigan State University, 48824, East Lansing, MI, USA", 
          "id": "http://www.grid.ac/institutes/grid.17088.36", 
          "name": [
            "Michigan State University, 48824, East Lansing, MI, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jain", 
        "givenName": "Anil K.", 
        "id": "sg:person.01031110710.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031110710.30"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2011", 
    "datePublishedReg": "2011-01-01", 
    "description": "This chapter provides an introduction to face recognition research. Main steps of face recognition processing are described. Face detection and recognition problems are explained from a face subspace viewpoint. Technology challenges are identified after that. Typical strategies for solving the problems are suggested.", 
    "editor": [
      {
        "familyName": "Li", 
        "givenName": "Stan Z.", 
        "type": "Person"
      }, 
      {
        "familyName": "Jain", 
        "givenName": "Anil K.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-0-85729-932-1_1", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-0-85729-931-4", 
        "978-0-85729-932-1"
      ], 
      "name": "Handbook of Face Recognition", 
      "type": "Book"
    }, 
    "keywords": [
      "face recognition processing", 
      "recognition processing", 
      "recognition research", 
      "recognition problem", 
      "processing", 
      "typical strategies", 
      "research", 
      "problem", 
      "chapter", 
      "viewpoint", 
      "strategies", 
      "challenges", 
      "technology challenges", 
      "introduction", 
      "step", 
      "detection", 
      "main steps"
    ], 
    "name": "Introduction", 
    "pagination": "1-15", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1031852499"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-0-85729-932-1_1"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-0-85729-932-1_1", 
      "https://app.dimensions.ai/details/publication/pub.1031852499"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-12-01T06:46", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/chapter/chapter_128.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-0-85729-932-1_1"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-0-85729-932-1_1'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-0-85729-932-1_1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-0-85729-932-1_1'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-0-85729-932-1_1'


 

This table displays all metadata directly associated to this object as RDF triples.

91 TRIPLES      22 PREDICATES      41 URIs      34 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-0-85729-932-1_1 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Nf2ad6a1b135843baaf044f4a86b22667
4 schema:datePublished 2011
5 schema:datePublishedReg 2011-01-01
6 schema:description This chapter provides an introduction to face recognition research. Main steps of face recognition processing are described. Face detection and recognition problems are explained from a face subspace viewpoint. Technology challenges are identified after that. Typical strategies for solving the problems are suggested.
7 schema:editor N7ffec7ac70e442f181ebcd2db8f943a0
8 schema:genre chapter
9 schema:isAccessibleForFree false
10 schema:isPartOf N3c68334ccb784c1f96608683d654da95
11 schema:keywords challenges
12 chapter
13 detection
14 face recognition processing
15 introduction
16 main steps
17 problem
18 processing
19 recognition problem
20 recognition processing
21 recognition research
22 research
23 step
24 strategies
25 technology challenges
26 typical strategies
27 viewpoint
28 schema:name Introduction
29 schema:pagination 1-15
30 schema:productId N7d5a735f9f704f9693af262d28a66460
31 Ne47226c1bd5a44b0a34d321033558a50
32 schema:publisher Nd5b15f732ff04f3fbbf5a8a5501f47e0
33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031852499
34 https://doi.org/10.1007/978-0-85729-932-1_1
35 schema:sdDatePublished 2022-12-01T06:46
36 schema:sdLicense https://scigraph.springernature.com/explorer/license/
37 schema:sdPublisher N3c120a7c94bc4b53a6b3647ebd18f251
38 schema:url https://doi.org/10.1007/978-0-85729-932-1_1
39 sgo:license sg:explorer/license/
40 sgo:sdDataset chapters
41 rdf:type schema:Chapter
42 N369e104c9da14f4496fefa8b990c0b5e schema:familyName Li
43 schema:givenName Stan Z.
44 rdf:type schema:Person
45 N3c120a7c94bc4b53a6b3647ebd18f251 schema:name Springer Nature - SN SciGraph project
46 rdf:type schema:Organization
47 N3c68334ccb784c1f96608683d654da95 schema:isbn 978-0-85729-931-4
48 978-0-85729-932-1
49 schema:name Handbook of Face Recognition
50 rdf:type schema:Book
51 N4e419e21a1b84474a07c437e35c38e75 rdf:first sg:person.01031110710.30
52 rdf:rest rdf:nil
53 N7d5a735f9f704f9693af262d28a66460 schema:name dimensions_id
54 schema:value pub.1031852499
55 rdf:type schema:PropertyValue
56 N7ffec7ac70e442f181ebcd2db8f943a0 rdf:first N369e104c9da14f4496fefa8b990c0b5e
57 rdf:rest Nb94216d6a5284b02b44c21e774a65c78
58 Nb94216d6a5284b02b44c21e774a65c78 rdf:first Nea2533c5128b4012873cf9a37f685457
59 rdf:rest rdf:nil
60 Nd5b15f732ff04f3fbbf5a8a5501f47e0 schema:name Springer Nature
61 rdf:type schema:Organisation
62 Ne47226c1bd5a44b0a34d321033558a50 schema:name doi
63 schema:value 10.1007/978-0-85729-932-1_1
64 rdf:type schema:PropertyValue
65 Nea2533c5128b4012873cf9a37f685457 schema:familyName Jain
66 schema:givenName Anil K.
67 rdf:type schema:Person
68 Nf2ad6a1b135843baaf044f4a86b22667 rdf:first sg:person.01072753474.61
69 rdf:rest N4e419e21a1b84474a07c437e35c38e75
70 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
71 schema:name Information and Computing Sciences
72 rdf:type schema:DefinedTerm
73 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
74 schema:name Artificial Intelligence and Image Processing
75 rdf:type schema:DefinedTerm
76 sg:person.01031110710.30 schema:affiliation grid-institutes:grid.17088.36
77 schema:familyName Jain
78 schema:givenName Anil K.
79 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031110710.30
80 rdf:type schema:Person
81 sg:person.01072753474.61 schema:affiliation grid-institutes:grid.429126.a
82 schema:familyName Li
83 schema:givenName Stan Z.
84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072753474.61
85 rdf:type schema:Person
86 grid-institutes:grid.17088.36 schema:alternateName Michigan State University, 48824, East Lansing, MI, USA
87 schema:name Michigan State University, 48824, East Lansing, MI, USA
88 rdf:type schema:Organization
89 grid-institutes:grid.429126.a schema:alternateName Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
90 schema:name Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
91 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...