Spring: A Light Field Scene Flow Dataset

This dataset contains 9 x 9 Views of frame-pairs from several shots from the
Blender Open Source movie, "Spring". Ground Truth scene flow and depth-maps
are stored as .exr files.

The files are grouped according to scene. There are six scenes:
- 01_025_A
- 02_020_A
- 02_040_A
- 02_055_A
- 05_030_A
- 08_040_A

A brief summary of important meta data is included below:

Scene Frame Pair Spacing (mm) Focal length (mm) Frame Rate (fps)
01_025_A 840, 841 0.5 35 96
02_020_A 510, 511 3.0 21 72
02_040_A 360, 361 9.0 16 72
02_055_A 2064, 2065 1.0 65 384
05_030_A 6390, 6391 3.0 21 360
08_040_A 145, 146 110.0 18 24

The original framerate was 24 fps.

A file containing meta data for each scene called meta_data.json is located
within the relevant .zip file for each scene. It contains:
- Focal Length (mm)
- Sensor Width (px)
- Sensor height (px)
- Horizontal Resolution (px)
- Vertical resolution (px)
- Number of views in the x direction
- Number of views in the y direction
- Baseline or spacing between cameras (mm)

The coordinate for each view is given by the folder name Cam (x, y). Ground
truth data is given for the central view in the folder Cam (0, 0). Each image
is saved as a .png file.

The ground truth flow fields in the .exr files are stored as a 3D array with
dimensions (height, width, 3). At a given row and column, the motion vector is
given in the order (z, y, x). For example, [84, 42, 0] has the component of the
flow field in the z direction at row 84, column 42 and, [42, 84, 2] has the x
component of the flow field at row 42, column 84. Each component of the vector
field is given in the unit, metres per frame (m / frame).

If you use this work please cite:

@phdthesis{Gray_2024,
author = {James L. Gray},
title = {Gradient Consistency: A New Take on Variational Optical Flow and Disparity Estimation},
school = {University of New South Wales},
address = {Sydney, NSW},
year = {2024},
month = {jul}
}

本数据集包含来自Blender开源动画《Spring》中多个镜头的9×9视角帧对（frame-pairs）。真值场景光流（scene flow）与深度图（depth-map）以.exr格式文件存储。
文件按场景分组，共包含6个场景：
- 01_025_A
- 02_020_A
- 02_040_A
- 02_055_A
- 05_030_A
- 08_040_A

下文列出了重要元数据（meta data）的简要汇总：
场景 帧对 间距（mm） 焦距（mm） 帧率（fps）
01_025_A 840, 841 0.5 35 96
02_020_A 510, 511 3.0 21 72
02_040_A 360, 361 9.0 16 72
02_055_A 2064, 2065 1.0 65 384
05_030_A 6390, 6391 3.0 21 360
08_040_A 145, 146 110.0 18 24

原始动画帧率为24 fps。
每个场景的相关.zip压缩包中均包含名为meta_data.json的元数据文件，其内容包括：
- 焦距（mm）
- 传感器宽度（像素）
- 传感器高度（像素）
- 水平分辨率（像素）
- 垂直分辨率（像素）
- X方向视角数量
- Y方向视角数量
- 相机间基线间距（mm）

每个视角的坐标由文件夹名Cam(x, y)标识。Cam(0, 0)文件夹中存储了中心视角的真值数据。所有图像均以.png格式存储。

.exr格式文件中的真值光流场以维度为(高度, 宽度, 3)的三维数组存储。对于指定的行与列，运动向量的顺序为(z, y, x)。例如，[84, 42, 0]代表第84行、第42列处光流场的z方向分量；[42, 84, 2]代表第42行、第84列处光流场的x方向分量。该向量场的各分量单位为米每帧（m/frame）。

若使用本数据集，请引用以下文献：
@phdthesis{Gray_2024,
author = {James L. Gray},
title = {Gradient Consistency: A New Take on Variational Optical Flow and Disparity Estimation},
school = {University of New South Wales},
address = {Sydney, NSW},
year = {2024},
month = {jul}
}