2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDARS-10.7
Paper Title MULTI-LEVEL OPTICAL FLOW ESTIMATION BASED ON SPATIAL PARTITIONING
Authors Niloufar Pourian, Oscar Nestares, Intel Corporation, United States
SessionARS-10: Image and Video Analysis and Synthesis
LocationArea H
Session Time:Monday, 20 September, 15:30 - 17:00
Presentation Time:Monday, 20 September, 15:30 - 17:00
Presentation Poster
Topic Image and Video Analysis, Synthesis, and Retrieval: Image & Video Synthesis, Rendering, and Visualization
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract We address the problem of optical flow estimation between a stereo pair of images suitable for view interpolation applications. In recent years, deep learning based approaches are found to be capable of producing superior optical flow estimation results than that of traditional approaches. However, deep learning approaches generally suffer from large GPU memory constraints and hence their application is limited to low resolution images. Here, we present an approach to accurate optical flow estimation via the state-of-the-art deep learning based approaches that introduces fewer artifacts in view interpolation applications. We confirm the suitability of our approach through both qualitative and quantitative results.