Depth From Light Fields Analyzing 4D Local Structure

Luke, J. P.; Rosa, F.; Marichal-Hernández, José G.; Sanluis, J. C.; Conde, Cristina Domínguez; Rodríguez-Ramos, José Manuel

doi:10.1109/jdt.2014.2360992

Cited by 12 publications

(10 citation statements)

References 35 publications

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“…Furthermore, the results show that one can apply the designed system to real data, as we expected. These results could be further improved by fusing multiple depth maps or applying a refinement technique in a later processing stage, as in [42].…”

Section: Discussionmentioning

confidence: 99%

“…These estimators aim to compute the depth for a point using a local neighbourhood. Most local algorithms perform the estimation based on the gradient of the light field [8,40,41,42], which makes this is a necessary previous step to estimate the disparity s . The light-field gradients here are estimated using the method proposed by Farid and Simoncelli in [72], although other derivative filters could be used.…”

Section: Methodsmentioning

confidence: 99%

“…In this paper, we reduce the cardinality of P to 1. We must note that other methods can be used to compute disparity from derivatives, but they would require more resources on FPGA as they need trigonometric operations [41,42].…”

Section: Methodsmentioning

confidence: 99%

“…Once the derivatives have been computed, the disparities can be estimated using different local methods [8,40,41,42]. An output adaptor was designed to estimate disparities from the gradient.…”

Section: Methodsmentioning

confidence: 99%

“…Berent and Dragotti [39] decided to use image segmentation techniques on light fields to detect the plenoptic structures that encode the depth information, as mentioned in Section 1.1. Other authors use differential operators to detect the slope of plenoptic structures [8,40,41,42]. In [43], robust PCA is used to extract depth information from plenoptic structures.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Implementation of a Depth from Light Field Algorithm on FPGA

Conde

Luke

Rosa

2019

Sensors

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A light field is a four-dimensional function that grabs the intensity of light rays traversing an empty space at each point. The light field can be captured using devices designed specifically for this purpose and it allows one to extract depth information about the scene. Most light-field algorithms require a huge amount of processing power. Fortunately, in recent years, parallel hardware has evolved and enables such volumes of data to be processed. Field programmable gate arrays are one such option. In this paper, we propose two hardware designs that share a common construction block to compute a disparity map from light-field data. The first design employs serial data input into the hardware, while the second employs view parallel input. These designs focus on performing calculations during data read-in and producing results only a few clock cycles after read-in. Several experiments were conducted. First, the influence of using fixed-point arithmetic on accuracy was tested using synthetic light-field data. Also tests on actual light field data were performed. The performance was compared to that of a CPU, as well as an embedded processor. Our designs showed similar performance to the former and outperformed the latter. For further comparison, we also discuss the performance difference between our designs and other designs described in the literature.

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Section: Discussionmentioning

confidence: 99%