articleIEEE Transactions on Instrumentation and MeasurementJan 1, 2024Closed access

Adaptive EPI-Matching Cost for Light Field Disparity Estimation

TWTun WangHSHao ShengRCRongshan ChenRCRuixuan CongMGM. G. Zhao

Beihang University

Indexed incrossref

Abstract

Light field (LF) technology captures information from multiple directions and angles, enabling precise disparity estimation. Recently, matching cost-based approaches have advanced rapidly and shown satisfactory results. However, these methods typically depend on fixed disparity candidates, leading to inadequate utilization of candidates and making them unsuitable for LF scenes with varying baselines. Multidirection line structures of epipolar-plane images (EPIs) associate multiple viewpoints, adaptively perceiving disparity ranges and accurately matching features in real scenes. In this article, we propose an adaptive EPI-matching cost (AEMC) for LF disparity estimation, which is proven to enhance the…

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340
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6

Topics & keywords

Topics
Keywords
  • Computer science
  • Matching (statistics)
  • Adaptive optics
  • Artificial intelligence
  • Computer vision
  • Optics
  • Mathematics
  • Statistics
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