Research on hand movement recognition based on static image decomposition
نویسندگان
چکیده
Estimation of human hand movement state is studied, that is, estimate the global pose of the human hand and the state of each local joint angle from the visual observation. In this paper, the static image sequence acquired by the camera is used as the observation input. Based on the improved Particle Swarm Optimization (PSO) particle filter algorithm study the human hand movement recognition, realize the interaction between the hand movement and the sphere.
منابع مشابه
Face Recognition Based Rank Reduction SVD Approach
Standard face recognition algorithms that use standard feature extraction techniques always suffer from image performance degradation. Recently, singular value decomposition and low-rank matrix are applied in many applications,including pattern recognition and feature extraction. The main objective of this research is to design an efficient face recognition approach by combining many tech...
متن کاملStatic Hand Gesture Recognition based on DWT Feature Extraction Technique
Every day number of images are generated which implies the necessity to classify, organise and access them using an easy, faster and efficient way. The classification of images into semantic categories is a challenging and important problem now days. Thus hand gesture image detection and recognition is also difficult task. In this paper a novel system which can be used for sign language recogni...
متن کاملDisguised Face Recognition by Using Local Phase Quantization and Singular Value Decomposition
Disguised face recognition is a major challenge in the field of face recognition which has been taken less attention. Therefore, in this paper a disguised face recognition algorithm based on Local Phase Quantization (LPQ) method and Singular Value Decomposition (SVD) is presented which deals with two main challenges. The first challenge is when an individual intentionally alters the appearance ...
متن کاملMechatronic Hand Design with Integrated Mechanism in Palm for Efficiency Improve of the Finger.
One of the most important case in humanoid robot designing is hand, which it consider as an country development. High percentage of robot work quality depend on hand capability. A robot function increase with hand movement. One of important movement in artificial hand capability relate to fingers lateral movement. This case has more effect intake of special objects such as round shape or moving...
متن کاملFacial Expression Recognition Based on Structural Changes in Facial Skin
Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...
متن کامل