Saliency-guided Adaptive Seeding for Supervoxel Segmentation

IROS, 2017.

Cited by: 3|Views11
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Abstract:

We propose a new saliency-guided method for generating supervoxels in 3D space. Rather than using an evenly distributed spatial seeding procedure, our method uses visual saliency to guide the process of supervoxel generation. This results in densely distributed, small, and precise supervoxels in salient regions which often contain objects...More

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