Multipass hierarchical stereo matching for generation of digital terrain models from aerial images

Hung, Yi‐Ping; Chen, Chu-Song; Hung, Kuan-Chung; Chen, Yongsheng; Fuh, Chiou-Shann

doi:10.1007/s001380050079

Cited by 20 publications

(9 citation statements)

References 24 publications

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“…The last group optimizes the matching propagation by making use of some propagation strategies. A familiar strategy to optimize the matching propagation is the pyramid image matching based on the "from coarse to fine" strategy (Marapane and Trivedi, 1994;Hung et al, 1998). Pyramid images is the image set with resolution from low to high decomposed from the same original image, and the matching result in the layer with low resolution can be think of the initial value when matching in the layer of higher resolution, the final results are more precise and reliable.…”

Section: Related Workmentioning

confidence: 99%

Propagation strategies for stereo image matching based on the dynamic triangle constraint

Zhu

Tian

2007

ISPRS Journal of Photogrammetry and Remote Sensing

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Section: Related Workmentioning

confidence: 99%

Propagation strategies for stereo image matching based on the dynamic triangle constraint

Zhu

Tian

2007

ISPRS Journal of Photogrammetry and Remote Sensing

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“…The stereoscopic configuration allows the alignment of the images captured by two cameras through the use of one or more stereo matching algorithms. [26][27][28][29] Figure 1 shows a multispectral-stereo system constructed from a modern stereo camera -Fujifilm FinePix REAL 3D W1 (Fujifilm3D) and two optical filters in front of the two lenses. One-shot acquisition can be made possible by using two cameras with a sync controller available in the market.…”

Section: Proposed One-shot Acquisition With a Stereo Cameramentioning

confidence: 99%

One-shot multispectral color imaging with a stereo camera

Shrestha

Hardeberg

Mansouri

2011

Digital Photography VII

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Multispectral color imaging is a promising technology, which can solve many of the problems of traditional RGB color imaging. However, it still lacks widespread and general use because of its limitations. State of the art multispectral imaging systems need multiple shots making it not only slower but also incapable of capturing scenes in motion. Moreover, the systems are mostly costly and complex to operate. The purpose of the work described in this paper is to propose a one-shot six-channel multispectral color image acquisition system using a stereo camera or a pair of cameras in a stereoscopic configuration, and a pair of optical filters. The best pair of filters is selected from among readily available filters such that they modify the sensitivities of the two cameras in such a way that they get spread reasonably well throughout the visible spectrum and gives optimal reconstruction of spectral reflectance and/or color. As the cameras are in a stereoscopic configuration, the system is capable of acquiring 3D images as well, and stereo matching algorithms provide a solution to the image alignment problem. Thus the system can be used as a "two-in-one" multispectral-stereo system. However, this paper mainly focuses on the multispectral part. Both simulations and experiments have shown that the proposed system performs well spectrally and colorimetrically.

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“…Different techniques could be used for the registration of the stereo images. One technique could be the use of a stereo-matching algorithm [51][52][53][54]. Here, we go for a simple manual approach [55].…”

Section: Registrationmentioning

confidence: 99%

Multispectral imaging using a stereo camera: concept, design and assessment

Shrestha¹,

Mansouri

Hardeberg³

2011

EURASIP J. Adv. Signal Process.

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International audienceThis paper proposes a one-shot six-channel multispectral color image acquisition system using a stereo camera and a pair of optical filters. The two filters from the best pair, selected from among readily available filters such that they modify the sensitivities of the two cameras in such a way that they produce optimal estimation of spectral reflectance and/or color, are placed in front of the two lenses of the stereo camera. The two images acquired from the stereo camera are then registered for pixel-to-pixel correspondence. The spectral reflectance and/or color at each pixel on the scene are estimated from the corresponding camera outputs in the two images. Both simulations and experiments have shown that the proposed system performs well both spectrally and colorimetrically. Since it acquires the multispectral images in one shot, the proposed system can solve the limitations of slow and complex acquisition process, and costliness of the state of the art multispectral imaging systems, leading to its possible uses in widespread applications

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Multipass hierarchical stereo matching for generation of digital terrain models from aerial images

Cited by 20 publications

References 24 publications

Propagation strategies for stereo image matching based on the dynamic triangle constraint

Propagation strategies for stereo image matching based on the dynamic triangle constraint

One-shot multispectral color imaging with a stereo camera

Multispectral imaging using a stereo camera: concept, design and assessment

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