포즈 인식에서 효율적 특징 추출을 위한 3차원 데이터의 차원 축소
3D Data Dimension Reduction for Efficient Feature Extraction in Posture Recognition
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
사용자 포즈의 3차원 데이터 생성을 통한 3차원 포즈 인식은 2차원 포즈 인식의 문제점을 해결하기 위해서 많이 연구되고 있지만, 3차원 표면 데이터의 방대한 양으로 포즈 인식에서 중요한 특징 추출(feature extraction)이 어렵고 수행 시간이 많이 걸리는 문제점을 가지고 있다. 본 논문에서는 3차원 포즈 인식의 두 가지 문제점인 특징 추출의 어려움과 느린 처리속도를 개선하기 위해서 3차원 형상복원 기술로 모델의 3차원 표면 점들로 구성된 데이터를 2차원 데이터로 변환하는 차원 축소(dimension reduction) 방법을 제안한다. 실린더형 외곽점을 이용한 메쉬없는 매개변수화(meshless parameterization) 방법은 방대한 데이터인 3차원 포즈 데이터를 2차원 데이터로 변환하여 특징 추출과 매칭과정의 연산 속도를 향상 시키며, 특징 추출의 효율성 검증을 위해 간단한 환경에서 실험이 가능한 손 포즈 인식 및 인간 포즈 인식에 적용하였다.
Abstract
3D posture recognition is a solution to overcome the limitation of 2D posture recognition. There are many researches carried out for 3D posture recognition using 3D data. The 3D data consist of massive surface points which are rich of information. However, it is difficult to extract the important features for posture recognition purpose. Meanwhile, it also consumes lots of processing time. In this paper, we introduced a dimension reduction method that transform 3D surface points of an object to 2D data representation in order to overcome the issues of feature extraction and time complexity of 3D posture recognition. For a better feature extraction and matching process, a cylindrical boundary is introduced in meshless parameterization, its offer a fast processing speed of dimension reduction process and the output result is applicable for recognition purpose. The proposed approach is applied to hand and human posture recognition in order to verify the efficiency of the feature extraction.
참고문헌 (21)
- E. Foxlin, "Motion Tracking Requirements and Technologies, Handbook of Virtual Environments: Design, Implementation, and Applications. K. Stanney (Ed.), Lawrence Erlbaum Associates", 163~210 (2002)
- Thomas S. Huang, "Hand Gesture Modeling, Analysis, and Synthesis", Proceedings of International Workshop on Automatic Face-and Gesture-Recognition, pp.26~28 (1995)
- R. Zeleznik, "Pop- Through Bottons for Virtual Environment Navigation and Interaction", Proceedings of IEEE Virtual Reality, pp.134~169 (2002)
- Qiulei Dong, "Gesture Recognition Using Quadratic Curves", Proceedings of the 15th International Conference on Pattern Recognition, pp.817~825 (2006)
- Mori G, "Recovering Human Body Configurations: Combining Segmentation and Recognition", Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.326~333 (2004)
- Pengyu Hong, "Gesture Modeling and Recognition Using Finite State Machines", Proceedings of IEEE Conference on Face and Gesture Recognition, pp.410~415 (2000)
- Chi-Wei Chu, "Posture and Gesture Recognition using 3D Body Shapes Decomposition", Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.69~69 (2005)
- Guangqi Ye, "Gesture Recognition Using 3D Appearance and Motion Features", Proceeding of Computer Vision and Pattern Recognition Workshops, pp.160~ (2004)
- Yoichi Sato, "Real-time Input of 3D Pose and Gestures of a User’s Hand and Its Applications for HCI", Proceeding of IEEE Virtual Reality Conference, pp.79~86 (2001)
- Y. Lee, "Dimension Reduction in 3D Gesture Recognition Using Meshless Parametarization", Proceedings of Pacific-Rim Symposium on Image and Video Technology, pp.64~73 (2006)
- Lee W. Campbell, "Invariant Features for 3-D Gesture Recognition", Proceedings of the Second International Conference on Automatic Face and Gesture Recognition, pp.157~162 (1996)
- Thomas B. Moeslund, "A Survey of Computer Vision-Based Human Motion Capture", Computer Vision and Image Understanding, pp.231~268 (2001)
- Malassiotis S, "A Gesture Recognition System Using 3D Data", Proceedings of the First International Symposium on 3D Data Processing Visualization and Transmission, pp.190~193 (2002)
- Ho-Kuen Shin, "Real-Time Gesture Recognition Using 3D Motion History Model", Proceedings of ICIC 2005, pp.888~898 (2005)
- R.Fablet, "Automatic Detection and Tracking of Human Motion with a View-Based Representation", Proceedings of 7th European Conference on Computer Vision, pp.476~491 (2002)
- Floater M. S, "Parameterization and B-spline Surface Approximation", pp.1~18 (2000), Springer-Verlag
- Floater M. S, "Meshless Parameterization and Surface Reconstruction", Computer Aided Geometric Design, pp.77~92 (2001)
- Floater M. S, "Surface Parameterization: a Tutorial and Survey,Advances in Multiresolution for Geometric Modelling", 157~186 (2004)
- R. Jain, "Machine Vision" (1995), McGraw-Hill
- E. D. Aguiar, "Marker-free Model Reconstruction and Motion Tracking from 3D Voxel Data", Proceedings of The 12th Pacific Conference on Computer Graphics and Applications, pp.101~110 (2004)
- C. Theobalt, "Combining 3D flow fileds with silhouette-based human motion capture for immersive video", Graphical Models, 66, pp.333~351 (2004)