2023
DOI: 10.5194/isprs-annals-x-4-w1-2022-363-2023
|View full text |Cite
|
Sign up to set email alerts
|

FFT-Based Filtering Approach to Fuse Photogrammetry and Photometric Stereo 3d Data

Abstract: Abstract. Image-based 3D reconstruction has been successfully employed for micro-measurements and industrial quality control purposes. However, obtaining a highly-detailed and reliable 3D reconstruction and inspection of non-collaborative surfaces is still an open issue. Photometric stereo (PS) offers the high spatial frequencies of the surface, but the low frequency is erroneous due to the mathematical model's assumptions and simplifications on how light interacts with the object surface. Photogrammetry, on t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 22 publications
0
3
0
Order By: Relevance
“…Other methods like cross polarisation [7,45] and image pre-processing [46,47] have been used for reflective or non-collaborative surfaces, but some techniques can potentially smooth off surface roughness and affect texture consistency across views [48,49]. Photogrammetry is also utilized in hybrid methods [50][51][52][53], where MVS approaches are used to generate a sparse 3D shape that can serve as a base for high-resolution measurements using Photometric Stereo (PS). Conventional [52,54,55] and learning-based [56][57][58] PS methods are also used to understand the image irradiance equation and retrieve the geometry of the imaged object but specular surfaces are still challenging for all image-based methods.…”
Section: Photogrammetric-based Methodsmentioning
confidence: 99%
“…Other methods like cross polarisation [7,45] and image pre-processing [46,47] have been used for reflective or non-collaborative surfaces, but some techniques can potentially smooth off surface roughness and affect texture consistency across views [48,49]. Photogrammetry is also utilized in hybrid methods [50][51][52][53], where MVS approaches are used to generate a sparse 3D shape that can serve as a base for high-resolution measurements using Photometric Stereo (PS). Conventional [52,54,55] and learning-based [56][57][58] PS methods are also used to understand the image irradiance equation and retrieve the geometry of the imaged object but specular surfaces are still challenging for all image-based methods.…”
Section: Photogrammetric-based Methodsmentioning
confidence: 99%
“…The field of photogrammetry is witnessing significant advancements in 3D modelling (Yalcin and Selcuk, 2015), a process that involves creating a three-dimensional representation of an object from two-dimensional images (Karami et al, 2023). This technology has found applications across various domains, including surveying engineering, road pavement monitoring, digital terrain modelling, as-built surveying, quality control, building information models (BIM), and computer-aided design (CAD) (Alsadik and Khalaf, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…Zhu proposed a method based on enhanced polarization and Gray-Code fringe structured light to reconstruct high dynamic range objects [20]. Karami et al proposed a fusion method to replace the low spatial frequencies of photometric stereo with the corresponding photogrammetric frequencies to correct the low frequencies based on the Fourier domain [21]. These studies captured lots of images and used the image fusion method to deal with the reflective problem and realize the 3D reconstruction and measurement.…”
Section: Introductionmentioning
confidence: 99%