Depth propagation for semi-automatic 2D to 3D conversion

Ekaterina Tolstaya; Petr Pohl; Michael Rychagov

doi:10.1117/12.2078901

17 March 2015 Depth propagation for semi-automatic 2D to 3D conversion

Ekaterina Tolstaya, Petr Pohl, Michael Rychagov

Proceedings Volume 9393, Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015; 939303 (2015) https://doi.org/10.1117/12.2078901
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

In this paper, we present a method for temporal propagation of depth data that is available for so called key-frames through video sequence. Our method requires that full frame depth information is assigned. Our method utilizes nearest preceding and nearest following key-frames with known depth information. The propagation of depth information from two sides is essential as it allows to solve most occlusion problems correctly. Image matching is based on the coherency sensitive hashing (CSH) method and is done using image pyramids. Disclosed results are compared with temporal interpolation based on motion vectors from optical flow algorithm. The proposed algorithm keeps sharp depth edges of objects even in situations with fast motion or occlusions. It also handles well many situations, when the depth edges don’t perfectly correspond with true edges of objects.

Citation Download Citation

Ekaterina Tolstaya, Petr Pohl, and Michael Rychagov "Depth propagation for semi-automatic 2D to 3D conversion", Proc. SPIE 9393, Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2015, 939303 (17 March 2015); https://doi.org/10.1117/12.2078901

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