Homography-based model with light calibration for plenoptic cameras

Assaad, Mohamad Al; Bazeille, Stéphane; Josso-Laurain, Thomas; Dieterlen, Alain; Cudel, Christophe

doi:10.1117/1.oe.60.9.095103

Cited by 2 publications

(3 citation statements)

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“…A relationship can be established from the different correspondence in the neighboring micro-images. This is well explained in, 14 where a direct relationship can be found between the true distance of an object in the scene and the image plane point on the sensor. Furthermore, the method used in this paper supposes that the object plane is a fixed plane, meaning that all the correspondences in the neighboring microimages can be projected in a fixed virtual image plane.…”

Section: Methodsmentioning

confidence: 84%

“…We will employ this strategy in the future to estimate the trajectory of our robot utilizing indirect visual odometry techniques. Identifying neighboring key-points will also help us estimate the depth of a given portion of the scene, as discussed in 14 . When measuring the depth in the image using the technique proposed in 14 .…”

Section: Discussionmentioning

confidence: 99%

“…Identifying neighboring key-points will also help us estimate the depth of a given portion of the scene, as discussed in 14 . When measuring the depth in the image using the technique proposed in 14 . This is due to the method's pixel-matching foundation between nearby micro-images.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Enhanced key-point detection for plenoptic imaging

Assaad

Bazeille

Josso-Laurain

et al. 2023

Sixteenth International Conference on Quality Control by Artificial Vision

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Standard imaging techniques do not get as much information from a scene as light-field imaging. Light-field (LF) cameras can measure the light intensity reflected by an object and, most importantly, the direction of its light rays. This information can be used in different applications, such as depth estimation, in-plane focusing, creating full-focused images, etc. However, standard key-point detectors often employed in computer vision applications cannot be applied directly to plenoptic images due to the nature of raw LF images. This work presents an approach for key-point detection dedicated to plenoptic images. Our method allows using of conventional key-point detector methods. It forces the detection of this key-point in a set of micro-images of the raw LF image. Obtaining this important number of key-points is essential for applications that require finding additional correspondences in the raw space, such as disparity estimation, indirect visual odometry techniques, and others. The approach is set to the test by modifying the Harris key-point detector.

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Section: Methodsmentioning

confidence: 84%

Section: Discussionmentioning

confidence: 99%