An improved algorithm for two-image camera self-calibration and Euclidean structure recovery using absolute quadric
Saved in:
| Title: | An improved algorithm for two-image camera self-calibration and Euclidean structure recovery using absolute quadric |
|---|---|
| Authors: | Huang, Chun-Rong1,2, Chen, Chu-Song2 song@iis.sinica.edu.tw, Chung, Pau-Choo1 |
| Source: | Pattern Recognition. Aug2004, Vol. 37 Issue 8, p1713-1722. 10p. |
| Subjects: | Algorithms, Cameras, Calibration, Quadratic equations |
| Abstract: | We present an improved algorithm for two-image camera self-calibration and Euclidean structure recovery, where the effective focal lengths of both cameras are assumed to be the only unknown intrinsic parameters. By using the absolute quadric, it is shown that the effective focal lengths can be computed linearly from two perspective images without imposing scene or motion constraints. Moreover, a quadratic equation derived from the absolute quadric is proposed for solving the parameters of the plane at infinity from two images, which upgrades a projective reconstruction to a Euclidean reconstruction. [Copyright &y& Elsevier] |
| Copyright of Pattern Recognition is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 13289921 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: An improved algorithm for two-image camera self-calibration and Euclidean structure recovery using absolute quadric – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Huang%2C+Chun-Rong%22">Huang, Chun-Rong</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Chen%2C+Chu-Song%22">Chen, Chu-Song</searchLink><relatesTo>2</relatesTo><i> song@iis.sinica.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Chung%2C+Pau-Choo%22">Chung, Pau-Choo</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Pattern+Recognition%22">Pattern Recognition</searchLink>. Aug2004, Vol. 37 Issue 8, p1713-1722. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Cameras%22">Cameras</searchLink><br /><searchLink fieldCode="DE" term="%22Calibration%22">Calibration</searchLink><br /><searchLink fieldCode="DE" term="%22Quadratic+equations%22">Quadratic equations</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We present an improved algorithm for two-image camera self-calibration and Euclidean structure recovery, where the effective focal lengths of both cameras are assumed to be the only unknown intrinsic parameters. By using the absolute quadric, it is shown that the effective focal lengths can be computed linearly from two perspective images without imposing scene or motion constraints. Moreover, a quadratic equation derived from the absolute quadric is proposed for solving the parameters of the plane at infinity from two images, which upgrades a projective reconstruction to a Euclidean reconstruction. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Pattern Recognition is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=13289921 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.patcog.2004.01.015 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1713 Subjects: – SubjectFull: Algorithms Type: general – SubjectFull: Cameras Type: general – SubjectFull: Calibration Type: general – SubjectFull: Quadratic equations Type: general Titles: – TitleFull: An improved algorithm for two-image camera self-calibration and Euclidean structure recovery using absolute quadric Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Huang, Chun-Rong – PersonEntity: Name: NameFull: Chen, Chu-Song – PersonEntity: Name: NameFull: Chung, Pau-Choo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2004 Type: published Y: 2004 Identifiers: – Type: issn-print Value: 00313203 Numbering: – Type: volume Value: 37 – Type: issue Value: 8 Titles: – TitleFull: Pattern Recognition Type: main |
| ResultId | 1 |