mlsanityData to 7 Oct 2026

Light Field Reconstruction Using Shearlet Transform

arXiv 1509.08969 ↗First posted 29 Sep 2015cs.CVcited by 19

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Abstract (arXiv)

In this article we develop an image based rendering technique based on light field reconstruction from a limited set of perspective views acquired by cameras. Our approach utilizes sparse representation of epipolar-plane images in a directionally sensitive transform domain, obtained by an adapted discrete shearlet transform. The used iterative thresholding algorithm provides high-quality reconstruction results for relatively big disparities between neighboring views. The generated densely sampled light field of a given 3D scene is thus suitable for all applications which requires light field reconstruction. The proposed algorithm is compared favorably against state of the art depth image based rendering techniques.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Sep 2015.

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Citing papers per year: 2021: 12; 2022: 6; 2023: 1.

19 papers.

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  1. 2021Light Field Networks: Neural Scene Representations with Single-Evaluation Renderingcited by 330
  2. 2021Learning Neural Light Fields with Ray-Space Embedding Networkscited by 49
  3. 2022Disentangling Light Fields for Super-Resolution and Disparity Estimationcited by 42
  4. 2021Revisiting Light Field Rendering with Deep Anti-Aliasing Neural Networkcited by 13
  5. 2021Learning Dynamic Interpolation for Extremely Sparse Light Fields with Wide Baselinescited by 3
  6. 2021Light Field Implicit Representation for Flexible Resolution Reconstructioncited by 3
  7. 2022Content-aware Warping for View Synthesiscited by 3
  8. 2021Model-inspired Deep Learning for Light-Field Microscopy with Application to Neuron Localizationcited by 2
  9. 2021A Hierarchical Coding Scheme for Glasses-free 3D Displays Based on Scalable Hybrid Layered Representation of Real-World Light Fieldscited by 2
  10. 2021Scale-Consistent Fusion: from Heterogeneous Local Sampling to Global Immersive Renderingcited by 2
  11. 2021A Novel Hierarchical Light Field Coding Scheme Based on Hybrid Stacked Multiplicative Layers and Fourier Disparity Layers for Glasses-Free 3D Displayscited by 1
  12. 2022Geo-NI: Geometry-aware Neural Interpolation for Light Field Renderingcited by 1
7 more
  1. 2021Deep Anti-aliasing of Whole Focal Stack Using Slice Spectrumcited by 0
  2. 2021A learning-based view extrapolation method for axial super-resolutioncited by 0
  3. 2021Spectral analysis of re-parameterized light fieldscited by 0
  4. 2022Epipolar Focus Spectrum: A Novel Light Field Representation and Application in Dense-view Reconstructioncited by 0
  5. 2022ProbNVS: Fast Novel View Synthesis with Learned Probability-Guided Samplingcited by 0
  6. 2022A Novel Light Field Coding Scheme Based on Deep Belief Network & Weighted Binary Images for Additive Layered Displayscited by 0
  7. 2023Physics-Informed Ensemble Representation for Light-Field Image Super-Resolutioncited by 0