Robot Trajectory Planning Using OLP and Structured Light 3D Machine Vision

Rodrigues, Marcos; Kormann, Mariza; Schuhler, C; Tomek, Peter

doi:10.1007/978-3-642-41939-3_24

Cited by 11 publications

(11 citation statements)

References 6 publications

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“…3D surface reconstruction was performed with our own software developed within the GMPR group [11,12,14]. The justification for introducing 3D reconstruction is that we can make use of a new set of metrics in terms of error measures and perceived quality of the 3D visualization to assess the quality of the compression/ decompression algorithms.…”

Section: Results For Structured Light Images and 3d Surfacesmentioning

confidence: 99%

“…This includes 3D reconstruction from structured light images, and 3D reconstruction from multiple viewpoint images. Previously, we have demonstrated that while geometry and connectivity of a 3D mesh can be tackled by several techniques such as high degree polynomial interpolation [10] or partial differential equations [11,12], the issue of efficient compression of 2D images both for 3D reconstruction and texture mapping has not yet been addressed in a satisfactory manner. Moreover, in most applications that share common data, it is necessary to transmit 3D models over the Internet.…”

Section: Introductionmentioning

confidence: 99%

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A novel high-frequency encoding algorithm for image compression

Siddeq

Rodrigues

2017

EURASIP J. Adv. Signal Process.

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In this paper, a new method for image compression is proposed whose quality is demonstrated through accurate 3D reconstruction from 2D images. The method is based on the discrete cosine transform (DCT) together with a high-frequency minimization encoding algorithm at compression stage and a new concurrent binary search algorithm at decompression stage. The proposed compression method consists of five main steps: (1) divide the image into blocks and apply DCT to each block; (2) apply a high-frequency minimization method to the AC-coefficients reducing each block by 2/3 resulting in a minimized array; (3) build a look up table of probability data to enable the recovery of the original high frequencies at decompression stage; (4) apply a delta or differential operator to the list of DC-components; and (5) apply arithmetic encoding to the outputs of steps (2) and (4). At decompression stage, the look up table and the concurrent binary search algorithm are used to reconstruct all high-frequency AC-coefficients while the DC-components are decoded by reversing the arithmetic coding. Finally, the inverse DCT recovers the original image. We tested the technique by compressing and decompressing 2D images including images with structured light patterns for 3D reconstruction. The technique is compared with JPEG and JPEG2000 through 2D and 3D RMSE. Results demonstrate that the proposed compression method is perceptually superior to JPEG with equivalent quality to JPEG2000. Concerning 3D surface reconstruction from images, it is demonstrated that the proposed method is superior to both JPEG and JPEG2000.

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Section: Results For Structured Light Images and 3d Surfacesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel high-frequency encoding algorithm for image compression

Siddeq

Rodrigues

2017

EURASIP J. Adv. Signal Process.

View full text Add to dashboard Cite

show abstract

“…The software was develop within the GMPR group [135]at Sheffield Hallam University. The patterns of stripes are projected on the surface on an object and captured by a high resolution camera.…”

Section: Experimental Results In 2d and 3dmentioning

confidence: 99%

“…This includes 3D reconstruction from structured light images, and 3D reconstruction from multiple viewpoint images. In previous publications, we have argued that while geometry and connectivity of a 3D mesh can be tackled by several techniques such as high degree polynomial interpolation [114] or partial differential equations [125,135], the issue of efficient compression of 2D images both for 3D reconstruction and texture mapping has not yet been addressed in a satisfactory manner. Using structured light techniques for 3D reconstruction, surface patches can be compressed as a 2D image together with 3D calibration parameters, transmitted over a network and remotely reconstructed (geometry, connectivity and texture map) at the receiving end with the same resolution as the original data [133,136].…”

Section: Resultsmentioning

confidence: 99%