CVC-Multimodal Stereo Dataset consists of three subsets of multimodal stereo images (visible and infrared), each one containing a different family of scenarios: Roads, Facades, and Smooth Surfaces. Each subset contains images taken in different conditions and days. For every couple of multimodal stereo images a real or a synthetic depth map, to be used as a ground truth, is given. Additionally, the corresponding calibration sets are also provided.
The images have been recorded using a multimodal stereo rig with the following characteristics:
All the images are provided in lossless PPM and BMP format.
|Sets of Calibration Pattern|
|Calibration Dataset (148MB)|
Our calibration data, valid range till 20m.
|Sets of Images|
|Smooth Surfaces (129MB)|
|OSU Color-Thermal Database***||+/- 2px|
***This benchmark belongs to OTCBVS, see the link for more datails.