6 datasets found

The dataset used in this paper is a set of images of a 1D target acquired by a stereo vision system with different distortion models.

The dataset used in this paper is a set of images of a checkerboard pattern acquired by two cameras with different orientations.

The KITTI benchmark dataset is used to evaluate the performance of the proposed method. The dataset contains large-scale outdoor sequences of images captured by a forward-facing...

The KITTI Vision Benchmark Suite is a dataset used for object detection and tracking in autonomous vehicles.

The Middlebury dataset is a benchmark for stereo vision and 3D reconstruction.

Dense pixel matching is required for many computer vision algorithms such as disparity, optical flow or scene flow estimation. Feature Pyramid Networks (FPN) have proven to be a...