文章阅读

Paper

1、KinectFusion: Real-Time Dense Surface Mapping and Tracking http://research.microsoft.com/pubs/155378/ismar2011.pdf

 

2、Real-Time Human Pose Recognition in Parts from a Single Depth Image

3、Random Forests for Real Time Head Pose Estimation

 

4、Efficient model-based 3D tracking of hand articulations using Kinect RGB-D cameras. model based http://www.bmva.org/bmvc/2011/proceedings/paper101/paper101.pdf

 

5、A GPU-powered computational framework for efficient 3D model-based vision

 

6、vision-based hand gesture recognition for human-computer interaction

 

7、View-independent Hand Posture Recognition from Single Depth Images Using PCA and Flusser Moments

 

8、RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments http://homes.cs.washington.edu/~xren/publication/henry-ijrr12-rgbd-mapping.pdf

 

9、A Category-Level 3-D Object Dataset: Putting the Kinect to Work

 

10、A Scalable Tree-based Approach for Joint Object and Pose Recognition

 

11、Indoor Scene Segmentation using a Structured Light Sensor.

 

12、Control Autonomous Helicopter Aerobatics through Apprenticeship Learning http://www.cs.berkeley.edu/~pabbeel/papers/AbbeelCoatesNg_IJRR2010.pdf

 

Object discovery

 

1、Object Discovery in 3D scenes via Shape Analysis http://cs.stanford.edu/people/karpathy/discovery/ICRA2013_ObjectDiscoveryViaShapeAnalysis.pdf

Book

1、Vision-based Hand Gesture Recognition for Human-Computer Interaction http://www.ics.forth.gr/~argyros/mypapers/2009_06_book_hci_gestures.pdf ;