12 datasets found

Formats: JSON Tags: stereo vision

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  • Point Grey Bumblebee2 1394a1 and ZED Stereo Camera2

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

  • MSTlandmarkStereov1

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

  • MSTlandmarkStereov1 dataset

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

  • Landmark-based Localization using Stereo Vision

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

  • Meshstereo

    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...

  • Middlebury Stereo Dataset

    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...

  • KeystoneDepth

    KeystoneDepth is a collection of over 10,000 rectified antique stereographs of historical scenes captured between 1860 and 1963.

  • TUM-VIE

    The dataset used in the paper is the TUM-VIE dataset, which contains a stereo visual-inertial event dataset.

  • KITTI 2012

    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.

  • MVSEC

    The MVSEC dataset is a dataset for event-based camera data, featuring 5 sequences of a car on the street, as well as 4 short indoor sequences shot from a flying quadrotor.

  • KITTI dataset

    The dataset used in the paper is the KITTI dataset, which is a benchmark for monocular depth estimation. The dataset consists of a large collection of images and corresponding...

  • KITTI 2015

    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.
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