Lim et al., 2020 - Google Patents
Camera-based hand tracking using a mirror-based multi-view setupLim et al., 2020
- Document ID
- 17167042835969685422
- Author
- Lim G
- Jatesiktat P
- Kuah C
- Ang W
- Publication year
- Publication venue
- 2020 42nd annual international conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
External Links
Snippet
Current clinical practice of measuring hand joint range of motion relies on a goniometer as it is inexpensive, portable, and easy to use, but it can only measure the static angle of a single joint at a time. To measure dynamic hand motion, a camera-based system that can perform …
- 210000001145 Finger Joint 0 abstract description 11
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/20—Image acquisition
- G06K9/32—Aligning or centering of the image pick-up or image-field
- G06K9/3216—Aligning or centering of the image pick-up or image-field by locating a pattern
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zago et al. | 3D tracking of human motion using visual skeletonization and stereoscopic vision | |
US11576578B2 (en) | Systems and methods for scanning a patient in an imaging system | |
JP7427188B2 (en) | 3D pose acquisition method and device | |
Hesse et al. | Learning and tracking the 3D body shape of freely moving infants from RGB-D sequences | |
US8565479B2 (en) | Extraction of skeletons from 3D maps | |
US20200268339A1 (en) | System and method for patient positioning | |
Weiss et al. | Home 3D body scans from noisy image and range data | |
Lim et al. | Camera-based hand tracking using a mirror-based multi-view setup | |
Harders et al. | Calibration, registration, and synchronization for high precision augmented reality haptics | |
CN104392223A (en) | Method for recognizing human postures in two-dimensional video images | |
Nguyen et al. | Practical 3D human skeleton tracking based on multi-view and multi-Kinect fusion | |
Jatesiktat et al. | Anatomical-Marker-Driven 3D Markerless Human Motion Capture | |
Desai et al. | Combining skeletal poses for 3D human model generation using multiple Kinects | |
Lu et al. | A new algorithm for 3D registration and its application in self-monitoring and early detection of lymphedema | |
TWI764393B (en) | Manufacturing method of pressure garment | |
Probst et al. | Combining human body shape and pose estimation for robust upper body tracking using a depth sensor | |
Zhang et al. | A simplified 3D gaze tracking technology with stereo vision | |
Yu et al. | Be Real in Scale: Swing for True Scale in Dual Camera Mode | |
Chin et al. | Conceptual design and implementation for visual tracking ankle rehabilitation system | |
Costa et al. | 3D reconstruction of body parts using rgb-d sensors: challenges from a biomedical perspective | |
Du et al. | A virtual keyboard system based on multi-level feature matching | |
Wang | Computational 3D Imaging of Specular and Shiny Surfaces | |
Ben Abdeljelil et al. | Fusion-Based Approach to Enhance Markerless Motion Capture Accuracy for On-Site Analysis | |
Ahmed | Non-Linear Skeletal Fusion with Multiple Kinects for Unified Skeletal Animation Reconstruction | |
Thao et al. | Robustify hand tracking by fusing generative and discriminative methods |