17 datasets found

Real-time stereo vision implementation on FPGAs with SceneScan Pro

Real-time stereo vision implementation on FPGAs with SceneScan

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.

ETH3D is a small real-world grayscale dataset with both indoor and outdoor scenes. It contains 27 labeled stereo image pairs for training and 20 stereo pairs for testing.

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 Middlebury 2014 dataset is a benchmark for stereo matching, consisting of 33 pairs of stereo images with sparse depth ground truth.

The FlyingThings3D dataset is a benchmark for stereo matching, consisting of a large collection of images and corresponding disparity maps.

Stereo CenterNet is a 3D object detection method for stereo images, combining deep learning and geometry.

KITTI 2012 is a real-world dataset in the outdoor scenario, and contains 194 training and 195 testing stereo image pairs with the size of 376 × 1240.

Natural scenes dataset for stereo depth estimation

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...

The dataset is used for learning a multi-view stereo machine.

The KITTI 2015 dataset is a real-world dataset of street views, containing 200 training stereo image pairs with sparsely labeled disparity from LiDAR data.

Stereo matching aims to recover the dense reconstruction of unknown scenes by computing the disparity from rectified stereo images, helping robots intelligently interact with...