On scale and resolution in the analysis of local image structure View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

1990

AUTHORS

Kjell Brunnström , Jan-Olof Eklundh , Tony Lindeberg

ABSTRACT

Focus-of-attention is extremely important in human visual perception. If computer vision systems are to perform tasks in a complex, dynamic world they will have to be able to control processing in a way that is analogous to visual attention in humans. In this paper we will investigate problems in connection with foveation, that is examining selected regions of the world at high resolution. We will especially consider the problem of finding and classifying junctions from this aspect. We will show that foveation as simulated by controlled, active zooming in conjunction with scale-space techniques allows robust detection and classification of junctions. More... »

PAGES

1-12

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bfb0014844

DOI

http://dx.doi.org/10.1007/bfb0014844

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1009287962


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/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive 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"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Computer Vision and Associative Pattern Processing Laboratory (CVAP), Royal Institute of Technology, S-100 44, Stockholm, Sweden", 
          "id": "http://www.grid.ac/institutes/grid.5037.1", 
          "name": [
            "Computer Vision and Associative Pattern Processing Laboratory (CVAP), Royal Institute of Technology, S-100 44, Stockholm, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brunnstr\u00f6m", 
        "givenName": "Kjell", 
        "id": "sg:person.07511673053.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07511673053.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Computer Vision and Associative Pattern Processing Laboratory (CVAP), Royal Institute of Technology, S-100 44, Stockholm, Sweden", 
          "id": "http://www.grid.ac/institutes/grid.5037.1", 
          "name": [
            "Computer Vision and Associative Pattern Processing Laboratory (CVAP), Royal Institute of Technology, S-100 44, Stockholm, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Eklundh", 
        "givenName": "Jan-Olof", 
        "id": "sg:person.014400652155.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014400652155.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Computer Vision and Associative Pattern Processing Laboratory (CVAP), Royal Institute of Technology, S-100 44, Stockholm, Sweden", 
          "id": "http://www.grid.ac/institutes/grid.5037.1", 
          "name": [
            "Computer Vision and Associative Pattern Processing Laboratory (CVAP), Royal Institute of Technology, S-100 44, Stockholm, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lindeberg", 
        "givenName": "Tony", 
        "id": "sg:person.015666316421.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015666316421.55"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "1990", 
    "datePublishedReg": "1990-01-01", 
    "description": "Focus-of-attention is extremely important in human visual perception. If computer vision systems are to perform tasks in a complex, dynamic world they will have to be able to control processing in a way that is analogous to visual attention in humans. In this paper we will investigate problems in connection with foveation, that is examining selected regions of the world at high resolution. We will especially consider the problem of finding and classifying junctions from this aspect. We will show that foveation as simulated by controlled, active zooming in conjunction with scale-space techniques allows robust detection and classification of junctions.", 
    "editor": [
      {
        "familyName": "Faugeras", 
        "givenName": "O.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/bfb0014844", 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-540-52522-6", 
        "978-3-540-47011-3"
      ], 
      "name": "Computer Vision \u2014 ECCV 90", 
      "type": "Book"
    }, 
    "keywords": [
      "computer vision system", 
      "classification of junctions", 
      "scale-space technique", 
      "human visual perception", 
      "local image structure", 
      "vision system", 
      "active zooming", 
      "image structure", 
      "robust detection", 
      "dynamic world", 
      "foveation", 
      "visual perception", 
      "visual attention", 
      "zooming", 
      "task", 
      "classification", 
      "processing", 
      "high resolution", 
      "world", 
      "detection", 
      "system", 
      "technique", 
      "attention", 
      "way", 
      "connection", 
      "resolution", 
      "aspects", 
      "perception", 
      "focus", 
      "humans", 
      "conjunction", 
      "analysis", 
      "structure", 
      "scale", 
      "problem", 
      "region", 
      "paper", 
      "junction"
    ], 
    "name": "On scale and resolution in the analysis of local image structure", 
    "pagination": "1-12", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1009287962"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bfb0014844"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/bfb0014844", 
      "https://app.dimensions.ai/details/publication/pub.1009287962"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-11-24T21:18", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/chapter/chapter_411.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/bfb0014844"
  }
]
 

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/bfb0014844'

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/bfb0014844'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bfb0014844'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bfb0014844'


 

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

119 TRIPLES      22 PREDICATES      65 URIs      56 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bfb0014844 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 anzsrc-for:17
4 anzsrc-for:1701
5 schema:author N63d54275d44e4c7abdaa7e5bc088ef5e
6 schema:datePublished 1990
7 schema:datePublishedReg 1990-01-01
8 schema:description Focus-of-attention is extremely important in human visual perception. If computer vision systems are to perform tasks in a complex, dynamic world they will have to be able to control processing in a way that is analogous to visual attention in humans. In this paper we will investigate problems in connection with foveation, that is examining selected regions of the world at high resolution. We will especially consider the problem of finding and classifying junctions from this aspect. We will show that foveation as simulated by controlled, active zooming in conjunction with scale-space techniques allows robust detection and classification of junctions.
9 schema:editor N3f7dc717c7af4a5fbc96e740f0d2ba9f
10 schema:genre chapter
11 schema:isAccessibleForFree true
12 schema:isPartOf Nb449a7a1e50e454eb2952f0f64409c6c
13 schema:keywords active zooming
14 analysis
15 aspects
16 attention
17 classification
18 classification of junctions
19 computer vision system
20 conjunction
21 connection
22 detection
23 dynamic world
24 focus
25 foveation
26 high resolution
27 human visual perception
28 humans
29 image structure
30 junction
31 local image structure
32 paper
33 perception
34 problem
35 processing
36 region
37 resolution
38 robust detection
39 scale
40 scale-space technique
41 structure
42 system
43 task
44 technique
45 vision system
46 visual attention
47 visual perception
48 way
49 world
50 zooming
51 schema:name On scale and resolution in the analysis of local image structure
52 schema:pagination 1-12
53 schema:productId N6ae7e9765b98474e83c141aca8b7d655
54 Ncc60cc82fbe24940aa27cd4bf50c2406
55 schema:publisher Nc685b56932de4540bb00b773b593bcaf
56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009287962
57 https://doi.org/10.1007/bfb0014844
58 schema:sdDatePublished 2022-11-24T21:18
59 schema:sdLicense https://scigraph.springernature.com/explorer/license/
60 schema:sdPublisher N5c49d2da46c249c0ab73cbd09fcd813c
61 schema:url https://doi.org/10.1007/bfb0014844
62 sgo:license sg:explorer/license/
63 sgo:sdDataset chapters
64 rdf:type schema:Chapter
65 N3a75b3ed8eab419797873a9c0e77a847 rdf:first sg:person.015666316421.55
66 rdf:rest rdf:nil
67 N3f7dc717c7af4a5fbc96e740f0d2ba9f rdf:first N5b40dd2b237442a1954dc994212832b7
68 rdf:rest rdf:nil
69 N5b40dd2b237442a1954dc994212832b7 schema:familyName Faugeras
70 schema:givenName O.
71 rdf:type schema:Person
72 N5c49d2da46c249c0ab73cbd09fcd813c schema:name Springer Nature - SN SciGraph project
73 rdf:type schema:Organization
74 N63d54275d44e4c7abdaa7e5bc088ef5e rdf:first sg:person.07511673053.86
75 rdf:rest Nd6f4cd5445514392a2eaebe8f9f9e097
76 N6ae7e9765b98474e83c141aca8b7d655 schema:name doi
77 schema:value 10.1007/bfb0014844
78 rdf:type schema:PropertyValue
79 Nb449a7a1e50e454eb2952f0f64409c6c schema:isbn 978-3-540-47011-3
80 978-3-540-52522-6
81 schema:name Computer Vision — ECCV 90
82 rdf:type schema:Book
83 Nc685b56932de4540bb00b773b593bcaf schema:name Springer Nature
84 rdf:type schema:Organisation
85 Ncc60cc82fbe24940aa27cd4bf50c2406 schema:name dimensions_id
86 schema:value pub.1009287962
87 rdf:type schema:PropertyValue
88 Nd6f4cd5445514392a2eaebe8f9f9e097 rdf:first sg:person.014400652155.17
89 rdf:rest N3a75b3ed8eab419797873a9c0e77a847
90 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
91 schema:name Information and Computing Sciences
92 rdf:type schema:DefinedTerm
93 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
94 schema:name Artificial Intelligence and Image Processing
95 rdf:type schema:DefinedTerm
96 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
97 schema:name Psychology and Cognitive Sciences
98 rdf:type schema:DefinedTerm
99 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
100 schema:name Psychology
101 rdf:type schema:DefinedTerm
102 sg:person.014400652155.17 schema:affiliation grid-institutes:grid.5037.1
103 schema:familyName Eklundh
104 schema:givenName Jan-Olof
105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014400652155.17
106 rdf:type schema:Person
107 sg:person.015666316421.55 schema:affiliation grid-institutes:grid.5037.1
108 schema:familyName Lindeberg
109 schema:givenName Tony
110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015666316421.55
111 rdf:type schema:Person
112 sg:person.07511673053.86 schema:affiliation grid-institutes:grid.5037.1
113 schema:familyName Brunnström
114 schema:givenName Kjell
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07511673053.86
116 rdf:type schema:Person
117 grid-institutes:grid.5037.1 schema:alternateName Computer Vision and Associative Pattern Processing Laboratory (CVAP), Royal Institute of Technology, S-100 44, Stockholm, Sweden
118 schema:name Computer Vision and Associative Pattern Processing Laboratory (CVAP), Royal Institute of Technology, S-100 44, Stockholm, Sweden
119 rdf:type schema:Organization
 




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


...