Mixed Reality
34 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Mixed Reality
Most implemented papers
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
hughw19/NOCS_CVPR2019
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CVPR 2019
The goal of this paper is to estimate the 6D pose and dimensions of unseen object instances in an RGB-D image.
Artificial Intelligence Assisted Infrastructure Assessment Using Mixed Reality Systems
Conventional methods for visual assessment of civil infrastructures have certain limitations, such as subjectivity of the collected data, long inspection time, and high cost of labor.
Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression
Efficient point cloud compression is fundamental to enable the deployment of virtual and mixed reality applications, since the number of points to code can range in the order of millions.
Improved Deep Point Cloud Geometry Compression
Point clouds have been recognized as a crucial data structure for 3D content and are essential in a number of applications such as virtual and mixed reality, autonomous driving, cultural heritage, etc.
Neural RGB-D Surface Reconstruction
dazinovic/neural-rgbd-surface-reconstruction
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CVPR 2022
Obtaining high-quality 3D reconstructions of room-scale scenes is of paramount importance for upcoming applications in AR or VR.
Human3.6m: Large scale datasets and predictive methods for 3D human sensing in natural environments
open-mmlab/mmpose
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IEEE Transactions on Pattern Analysis and Machine Intelligence ( Volume: 36 , Issue: 7 , July 2014 ) 2013
We introduce a new dataset, Human3. 6M, of 3. 6 Million accurate 3D Human poses, acquired by recording the performance of 5 female and 6 male subjects, under 4 different viewpoints, for training realistic human sensing systems and for evaluating the next generation of human pose estimation models and algorithms.
Offline and Online calibration of Mobile Robot and SLAM Device for Navigation
In the experiments, we confirm the parameters obtained by two types of offline calibration according to the degree of freedom of robot movement and validate the effectiveness of online correction method by plotting localized position error during robot's intense movement.
Understanding the Limitations of CNN-based Absolute Camera Pose Regression
We furthermore use our model to show that pose regression is more closely related to pose approximation via image retrieval than to accurate pose estimation via 3D structure.
To Learn or Not to Learn: Visual Localization from Essential Matrices
Using a classical feature-based approach within this framework, we show state-of-the-art performance.
Detection and tracking of fingertips for geometric transformation of objects in virtual environment
MahmudulAlam/Fingertip-Mixed-Reality
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In particular, the distance of the thumb and index fingertips is employed to scale a 3D object in virtual environment.
