Robust integral image rectification framework using perspective transformation supported by statistical line segment clustering

Koufogiannis, E. T.; Sgouros, N.; Sangriotis, M.S.

doi:10.1364/ao.50.00h265

Cited by 11 publications

(18 citation statements)

References 13 publications

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“…The optically acquired InIm is shown in Figs 4, 6 and has been acquired using a Cannon EOS-500D camera using the setup in [9]. It should be noted that lens distortion such as barrel or pincushion has not been considered under the current approach since it is automatically corrected using our camera's firmware.…”

Section: Experiments Results and Conclusion A Acquired Imagesmentioning

confidence: 99%

“…A perspective rectification method also utilizing the Hough transform was shown in [8]. The work in [9] is an improved and statistically based perspective rectification method aimed to square lens InIms. The method proposed in [10] is a generalization of [9] when applied to LAs containing hexagonal lenses.…”

Section: Introductionmentioning

confidence: 99%

“…The work in [9] is an improved and statistically based perspective rectification method aimed to square lens InIms. The method proposed in [10] is a generalization of [9] when applied to LAs containing hexagonal lenses. To our best knowledge there are currently no proposed methods for the automatic processing and EI segmentation of InIms captured from LAs with circular lenses.…”

Section: Introductionmentioning

confidence: 99%

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Grid reconstruction and skew angle estimation in Integral Images produced using circular microlenses

Koufogiannis

Sgouros

Ntasi

et al. 2013

2013 18th International Conference on Digital Signal Processing (DSP)

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Nowadays a number of different three-dimensional (3D) systems compete in the field of capturing and delivering autostereoscopic (ASt) 3D content. Integral Imaging (InI) is a promising ASt technique that provides both horizontal and vertical parallax as well as high quality realistic 3D content. In this work we propose an InI preprocessing method for identification and accurate segmentation of the grid structure in Integral Images (InIms) generated using lens arrays (LAs) containing circular lenses. In the proposed method we utilize the gradient augmented circular hough transform to accurately detect circular regions in the acquired integral image (InIm). Subsequently by using a triangulation scheme followed by a statistical approach we accurately estimate the grid line structure of the utilized LA. This results in the accurate segmentation of the circular shaped elemental images (EIs) contained in the InIm, a process vital for the effectiveness of the InI methodology. We provide experimental results over artificial as well as optically acquired InIms to evaluate the accuracy of the method using objective metrics.

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Section: Experiments Results and Conclusion A Acquired Imagesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Grid reconstruction and skew angle estimation in Integral Images produced using circular microlenses

Koufogiannis

Sgouros

Ntasi

et al. 2013

2013 18th International Conference on Digital Signal Processing (DSP)

Self Cite

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“…The pseudoscopic problem is the inversion of the depth, which was addressed by Ives in 1931 [31]. The rectification of the misalignment of the lens array and capturing device or the compensation of the pixel structure also requires additional processing time [32][33][34][35]. For the practical application of the real-time system, the additional processing time should be minimized.…”

Section: Real-time Capture and Displaymentioning

confidence: 99%

Recent issues on integral imaging and its applications

Park

Yeom

Jeong

et al. 2013

Journal of Information Display

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In this review paper, the recent progress of 3D applications using integral imaging is introduced. Thanks to the progress of the flat panel displays, the quality of the 3D displays has also improved, resulting in the opening of more applications of the 3D display. The previous studies on integral imaging emphasized the improvement of the viewing quality of the integral imaging system, but the emergence of new technologies requires more than the replacement of the current 2D displays. New applications of the integral imaging method, such as displays with augmented reality, 3D information capturing, real-time processing, the projection-type method, and the integral floating method, and their recent research trends, are introduced.

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“…This method uses the Hough transform to detect a rectangle of the distorted EI grid, which is subsequently used to estimate the rectification parameters. An alternative rectification approach for square LA InIms is proposed in [11] and offers a robust grid estimation method with strong statistical support for line segments over the entire InIm. The method proposed in [12] is a generalization of [11] for the case of hexagonal LAs.…”

Section: Introductionmentioning

confidence: 99%

Perspective rectification of integral images produced using arrays of circular lenses

2013

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There are many different three-dimensional (3D) techniques to capture and deliver autostereoscopic 3D content. A promising technique that provides two-dimensional parallax as well as high-quality, full-color 3D content is integral imaging (InI). Misalignments between the lens arrays (LAs) and the camera charged coupled device, however, introduce geometric distortions in the acquired image that propagate through the different image processing stages and deteriorate the 3D effect. Here, we propose a method to accurately rectify the perspective distortion of integral images (InIms) generated using circular lenses. Using an edge-linking approach, we extracted elliptically shaped contours of elemental images in the perspectively distorted InIm. To calculate the rectification matrix, we used the images of the circular points. Subsequently, we applied a triangulation scheme followed by a statistical approach to accurately estimate the grid structure of the LA. Finally, we provided experimental results over a wide range of InIms to evaluate the robustness and accuracy of the proposed method using objective metrics.

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Robust integral image rectification framework using perspective transformation supported by statistical line segment clustering

Cited by 11 publications

References 13 publications

Grid reconstruction and skew angle estimation in Integral Images produced using circular microlenses

Grid reconstruction and skew angle estimation in Integral Images produced using circular microlenses

Recent issues on integral imaging and its applications

Perspective rectification of integral images produced using arrays of circular lenses

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