The Southampton-York Natural Scenes (SYNS) dataset: Statistics of surface attitude.
The Southampton-York Natural Scenes (SYNS) dataset: Statistics of surface attitude.
复制标题
南安普敦York自然场景（SYNS）数据集：表面态度的统计数据。
DOI：
10.1038/srep35805
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发表时间：
2016-10-26
影响因子：
4.6
通讯作者：
Muryy A
中科院分区：
文献类型：
--
作者：
Adams WJ;Elder JH;Graf EW;Leyland J;Lugtigheid AJ;Muryy A
从2D图像中恢复3D场景是一个不受限制的任务；最佳估计取决于对基础场景统计的了解。它提供了全面的场景统计信息，可用于了解生物学视觉和改善机器视觉系统。在25个室内和室外类别中的随机位置。示例：对场景类别的表面态度统计数据和表面正态的调节。地平线下方由地平面（0°倾斜）主导，概率密度在90°/270°倾斜下升高，这是由于垂直表面（树，墙壁上方）。 °由于高架结构（例如天花板和叶檐篷）而倾斜。态度。
Recovering 3D scenes from 2D images is an under-constrained task; optimal estimation depends upon knowledge of the underlying scene statistics. Here we introduce the Southampton-York Natural Scenes dataset (SYNS: https://syns.soton.ac.uk), which provides comprehensive scene statistics useful for understanding biological vision and for improving machine vision systems. In order to capture the diversity of environments that humans encounter, scenes were surveyed at random locations within 25 indoor and outdoor categories. Each survey includes (i) spherical LiDAR range data (ii) high-dynamic range spherical imagery and (iii) a panorama of stereo image pairs. We envisage many uses for the dataset and present one example: an analysis of surface attitude statistics, conditioned on scene category and viewing elevation. Surface normals were estimated using a novel adaptive scale selection algorithm. Across categories, surface attitude below the horizon is dominated by the ground plane (0° tilt). Near the horizon, probability density is elevated at 90°/270° tilt due to vertical surfaces (trees, walls). Above the horizon, probability density is elevated near 0° slant due to overhead structure such as ceilings and leaf canopies. These structural regularities represent potentially useful prior assumptions for human and machine observers, and may predict human biases in perceived surface attitude.
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DOI：
10.1109/tpami.2014.2377712
发表时间：
2015-08-01
影响因子：
23.6
作者：
Barron, Jonathan T.;Malik, Jitendra
通讯作者：
Malik, Jitendra
影响因子：
4.2
作者：
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通讯作者：
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影响因子：
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作者：
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通讯作者：
EGUSA, H
影响因子：
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作者：
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通讯作者：
Ernst, MO
影响因子：
1.8
作者：
Adams, Wendy J.
通讯作者：
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