Natural scene statistics and estimation of shape and reflectance.
Natural scene statistics and estimation of shape and reflectance.
复制标题
自然场景统计以及形状和反射率的估计。
DOI：
10.1167/16.12.6
复制
发表时间：
2016
影响因子：
1.8
通讯作者：
Adams W
中科院分区：
文献类型：
--
作者：
Adams W
视觉系统的一个主要功能是从图像中估计物体和表面的形状和反射率。来自人类和计算机视觉的证据表明，这个问题的解决方案涉及利用形状、反射率和光照的先验概率分布。在一个最优系统中，这些先验将反映我们世界的统计数据。为了更好地了解我们的环境统计数据，以及这些统计数据如何影响人类感知，我们开发了南安普敦-约克自然场景（SYNS）公共数据集。该数据集包括来自各种室内和室外场景类别的场景样本。每个场景样本由(i)近球形视场上的3D激光距离（LiDAR）数据组成，与（ii）球形高动态范围图像共同注册，以及（iii）立体图像对全景。这些数据可在https://syns上公开获取。soton。ac.英国/。我将讨论我们在这个项目过程中所面临的一些挑战，包括：1)地理采样策略，2)地表分析的尺度选择，3)将场景测量与人类感知联系起来。我还将讨论未来的工作和潜在的应用。
A major function of the visual system is to estimate the shape and reflectance of objects and surfaces from the image. Evidence from both human and computer vision suggests that solutions to this problem involve exploiting prior probability distributions over shape, reflectance and illumination. In an optimal system, these priors would reflect the statistics of our world. To allow a better understanding of the statistics of our environment, and how these statistics shape human perception, we have developed the Southampton-York Natural Scenes (SYNS) public dataset. The dataset includes scene samples from a wide variety of indoor and outdoor scene categories. Each scene sample consists of (i) 3D laser range (LiDAR) data over a nearly spherical field of view, co-registered with (ii) spherical high dynamic range imagery, and (iii) a panorama of stereo image pairs. These data are publicly available at https://syns. soton. ac. uk/. I will discuss a number of challenges that we have addressed in the course of this project, including: 1) geographic sampling strategy, 2) scale selection for surface analysis, 3) relating scene measurements to human perception. I will also discuss future work and potential applications.