IEEE Transactions on Cybernetics· 2013Q1· Review
Enhanced Computer Vision With Microsoft Kinect Sensor: A Review
- 1,376citations
- Q1SCImago
- 2013year
Short summary
This review surveys recent computer vision algorithms and applications that leverage the Microsoft Kinect sensor's combined depth and RGB data, highlighting its advantages over RGB-only methods.
AI-generated from the title and abstract; the full text is not read.
Key points
- Kinect sensor provides integrated depth and RGB data for computer vision.
- Reviewed applications include object tracking, activity analysis, and 3D mapping.
- Kinect-based methods offer advantages over traditional RGB-only approaches.
- The paper identifies current challenges and future research trends in Kinect-based vision.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. IEEE Transactions on Cybernetics, 2013 · DOI ↗
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Field: Human-Computer Interaction
Human-Computer InteractionComputer Science