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} }