32 datasets found

The Point Grey Bumblebee2 1394a1 and the ZED Stereo Camera2 are used to evaluate the proposed stereo matching method.

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.

A dataset of tricamera stereo sequences for road-modeling in the presence of windscreen wipers.

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 dataset used for training and testing the proposed EDNet model for efficient disparity estimation.

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.

MSTlandmarkStereov1 dataset used to perform distance estimation from unknown nodes to the landmark anchors.

The MSTlandmarkStereov1 dataset is used to perform distance estimation experiments from unknown nodes to the landmark anchors.

The proposed framework provides a novel and effective approach for localization in non-GPS battlefield environments using passive camera sensors and naturally existing or...

A benchmark for evaluating hand pose tracking/estimation algorithms on passive stereo. Unlike existing benchmarks, it contains both stereo images from a binocular stereo camera...

A benchmark for evaluating hand pose tracking/estimation algorithms on passive stereo. Unlike existing benchmarks, it contains both stereo images from a binocular stereo camera...

KITTI 2015 dataset contains videos in 200 street scenes captured by RGB cameras, with sparse depth ground truths captured by Velodyne laser scanner.

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

The TOD dataset is a public stereo object pose estimation dataset that includes about 45,000 stereo images of 15 different objects, along with the ground truth segmentation...

The Transparent Tableware Dataset (TTD) is a dataset made available with this paper that includes 600 stereo images of real scenes with some objects positioned in the scene,...