Academic Journal
스테레오 비전을 이용한 합성곱 기반 실시간 깊이맵 생성 기법.
| Τίτλος: | 스테레오 비전을 이용한 합성곱 기반 실시간 깊이맵 생성 기법. (Korean) |
|---|---|
| Alternate Title: | Real-Time Depth Map Using Stereo Vision and Convolutional Filtering. (English) |
| Συγγραφείς: | 이현중, 박대진 |
| Πηγή: | Journal of the Korea Institute of Information & Communication Engineering; Sep2025, Vol. 29 Issue 9, p1251-1260, 10p |
| Θεματικοί όροι: | Depth maps (Digital image processing), Stereo vision (Computer science), Detectors, Autonomous vehicles, Depth perception, Spatial filters, Object recognition (Computer vision) |
| Περίληψη: | In autonomous driving systems, accurate perception of the surrounding environment and appropriate decision-making require reliable acquisition of 3D spatial information. Although LiDAR-based 3D mapping technologies have been widely used, they face several limitations and difficulty in integrating with vehicle platforms. To address these issues, this study proposes a real-time depth map generation method that relies on stereo vision, offering a cost-effective alternative to expensive sensors. The proposed approach effectively detects object boundaries, removes unnecessary non-object regions connected to the background, and calculates depth by directly matching disparity between frame elements within object regions. In the process, a convolution filter is used to enhance pixel uniqueness. This approach achieves superior real-time performance over traditional and deep learning-based techniques without requiring complex computation or costly sensors. Thus, it serves as a low-cost, high-efficiency alternative suitable for autonomous vehicles and embedded vision systems. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of the Korea Institute of Information & Communication Engineering is the property of Korea Institute of Information & Communication Engineering 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.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 188300913 RelevancyScore: 1023 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1023.08752441406 |
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| Items | – Name: Title Label: Title Group: Ti Data: 스테레오 비전을 이용한 합성곱 기반 실시간 깊이맵 생성 기법. (Korean) – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Real-Time Depth Map Using Stereo Vision and Convolutional Filtering. (English) – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22이현중%22">이현중</searchLink><br /><searchLink fieldCode="AR" term="%22박대진%22">박대진</searchLink> – Name: TitleSource Label: Source Group: Src Data: Journal of the Korea Institute of Information & Communication Engineering; Sep2025, Vol. 29 Issue 9, p1251-1260, 10p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Depth+maps+%28Digital+image+processing%29%22">Depth maps (Digital image processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Stereo+vision+%28Computer+science%29%22">Stereo vision (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Detectors%22">Detectors</searchLink><br /><searchLink fieldCode="DE" term="%22Autonomous+vehicles%22">Autonomous vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Depth+perception%22">Depth perception</searchLink><br /><searchLink fieldCode="DE" term="%22Spatial+filters%22">Spatial filters</searchLink><br /><searchLink fieldCode="DE" term="%22Object+recognition+%28Computer+vision%29%22">Object recognition (Computer vision)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In autonomous driving systems, accurate perception of the surrounding environment and appropriate decision-making require reliable acquisition of 3D spatial information. Although LiDAR-based 3D mapping technologies have been widely used, they face several limitations and difficulty in integrating with vehicle platforms. To address these issues, this study proposes a real-time depth map generation method that relies on stereo vision, offering a cost-effective alternative to expensive sensors. The proposed approach effectively detects object boundaries, removes unnecessary non-object regions connected to the background, and calculates depth by directly matching disparity between frame elements within object regions. In the process, a convolution filter is used to enhance pixel uniqueness. This approach achieves superior real-time performance over traditional and deep learning-based techniques without requiring complex computation or costly sensors. Thus, it serves as a low-cost, high-efficiency alternative suitable for autonomous vehicles and embedded vision systems. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Journal of the Korea Institute of Information & Communication Engineering is the property of Korea Institute of Information & Communication Engineering 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=edb&AN=188300913 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.6109/jkiice.2025.29.9.1251 Languages: – Code: kor Text: Korean PhysicalDescription: Pagination: PageCount: 10 StartPage: 1251 Subjects: – SubjectFull: Depth maps (Digital image processing) Type: general – SubjectFull: Stereo vision (Computer science) Type: general – SubjectFull: Detectors Type: general – SubjectFull: Autonomous vehicles Type: general – SubjectFull: Depth perception Type: general – SubjectFull: Spatial filters Type: general – SubjectFull: Object recognition (Computer vision) Type: general Titles: – TitleFull: 스테레오 비전을 이용한 합성곱 기반 실시간 깊이맵 생성 기법. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: 이현중 – PersonEntity: Name: NameFull: 박대진 IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 22344772 Numbering: – Type: volume Value: 29 – Type: issue Value: 9 Titles: – TitleFull: Journal of the Korea Institute of Information & Communication Engineering Type: main |
| ResultId | 1 |