6533b86ffe1ef96bd12ce615

RESEARCH PRODUCT

Combining Defocus and Photoconsistency for Depth Map Estimation in 3D Integral Imaging

J. Martinez SotocaPedro Latorre-carmonaHector Espinos-moratoFiliberto PlaBahram Javidi

subject

Synthetic aperture radarIntegral imagingPixelComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020207 software engineering02 engineering and technology01 natural sciences010309 opticsMinimum-variance unbiased estimatorDepth mapComputer Science::Computer Vision and Pattern RecognitionAutostereoscopy0103 physical sciences0202 electrical engineering electronic engineering information engineeringComputer visionArtificial intelligencebusiness

description

This paper presents the application of a depth estimation method for scenes acquired using a Synthetic Aperture Integral Imaging (SAII) technique. SAII is an autostereoscopic technique consisting of an array of cameras that acquires images from different perspectives. The depth estimation method combines a defocus and a correspondence measure. This approach obtains consistent results and shows noticeable improvement in the depth estimation as compared to a minimum variance minimisation strategy, also tested in our scenes. Further improvements are obtained for both methods when they are fed into a regularisation approach that takes into account the depth in the spatial neighbourhood of a pixel.

yearjournalcountryeditionlanguage
2017-01-01
https://doi.org/10.1007/978-3-319-58838-4_13