Titlebook: Advances in Visual Computing; 14th International S George Bebis,Richard Boyle,Panpan Xu Conference proceedings 2019 Springer Nature Switzer

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https://doi.org/10.1007/1-4020-2630-7 unique to expensive LiDAR ranging devices. Approaches based on cheaper monocular imagery are typically incapable of identifying 3D objects. In this paper, we propose a novel approach to predict accurate 3D bounding box locations on monocular images. We first train a generative adversarial network (

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https://doi.org/10.1007/1-4020-2630-7pixel was traditionally considered as a small cluster of square-based pixels that have similar color intensities and are closely located to each other. In this discrete model the boundaries of superpixels often have irregular zigzags consisting of horizontal or vertical edges from a given pixel grid

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