The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
Enhanced Computer Vision With Microsoft Kinect Sensor: A Review
Abstract
With the invention of the low-cost Microsoft Kinect sensor, high-resolution depth and visual (RGB) sensing has become available for widespread use. The complementary nature of the depth and visual information provided by the Kinect sensor opens up new opportunities to solve fundamental problems in computer vision. This paper presents a comprehensive review of recent Kinect-based computer vision algorithms and applications. The reviewed approaches are classified according to the type of vision problems that can be addressed or enhanced by means of the Kinect sensor. The covered topics include preprocessing, object tracking and recognition, human activity analysis, hand gesture analysis, and indoor 3-D mapping. For each category of methods, we outline their main algorithmic contributions and summarize their advantages/differences compared to their RGB counterparts. Finally, we give an overview of the challenges in this field and future research trends. This paper is expected to serve as a tutorial and source of references for Kinect-based computer vision researchers.
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Cites
Distinctive Image Features from Scale-Invariant Keypoints
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SURF: Speeded Up Robust Features
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Speeded-Up Robust Features (SURF)
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Indoor segmentation and support inference from rgbd images
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KinectFusion: Real-time dense surface mapping and tracking
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Self-citationA benchmark for the evaluation of RGB-D SLAM systems
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Cited by
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
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Working Together: A Review on Safe Human-Robot Collaboration in Industrial Environments
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Skeleton-Based Human Action Recognition With Global Context-Aware Attention LSTM Networks
Liu, J., Wang, G., Duan, L.-Y., Abdiyeva, K., & Kot, A. C. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2785279 · Cited by 537
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation
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Kinect range sensing: Structured-light versus Time-of-Flight Kinect
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Metadata
- Authors
- Han, J., Shao, L., Xu, D., & Shotton, J.
- Venue
- IEEE Transactions on Cybernetics
- Published
- 2013-10
- Volume
- 43
- Issue
- 5
- Pages
- 1318-1334
- ISSN
- 2168-2267 (ISSN-L)
- 2168-2275
- OpenAlex
- W2151047074
- Cited by
- 1,367
- References
- 85
- FWCI
- 169.50
- Type
- journal article
- Language
- en
- Open access
- closed
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