Nothing Special   »   [go: up one dir, main page]

Vo et al., 2020 - Google Patents

Spatiotemporal bundle adjustment for dynamic 3d human reconstruction in the wild

Vo et al., 2020

View PDF
Document ID
15764102792304532518
Author
Vo M
Sheikh Y
Narasimhan S
Publication year
Publication venue
IEEE Transactions on Pattern Analysis and Machine Intelligence

External Links

Snippet

Bundle adjustment jointly optimizes camera intrinsics and extrinsics and 3D point triangulation to reconstruct a static scene. The triangulation constraint, however, is invalid for moving points captured in multiple unsynchronized videos and bundle adjustment is not …
Continue reading at ieeexplore.ieee.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • 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
    • 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
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • 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
    • G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
    • G06K9/00369—Recognition of whole body, e.g. static pedestrian or occupant recognition
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/222—Studio circuitry; Studio devices; Studio equipment; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/225—Television cameras; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles

Similar Documents

Publication Publication Date Title
Pavlakos et al. Expressive body capture: 3d hands, face, and body from a single image
US10334168B2 (en) Threshold determination in a RANSAC algorithm
Malleson et al. Real-time multi-person motion capture from multi-view video and IMUs
Dockstader et al. Multiple camera tracking of interacting and occluded human motion
Vo et al. Spatiotemporal bundle adjustment for dynamic 3d reconstruction
Baak et al. A data-driven approach for real-time full body pose reconstruction from a depth camera
Nair et al. A survey on time-of-flight stereo fusion
US20150125045A1 (en) Environment Mapping with Automatic Motion Model Selection
JP2018520425A (en) 3D space modeling
Vo et al. Spatiotemporal bundle adjustment for dynamic 3d human reconstruction in the wild
Ren et al. Lidar-aid inertial poser: Large-scale human motion capture by sparse inertial and lidar sensors
Gordon et al. FLEX: extrinsic parameters-free multi-view 3D human motion reconstruction
Elhayek et al. Fully automatic multi-person human motion capture for vr applications
Pavlakos et al. The one where they reconstructed 3d humans and environments in tv shows
Elhayek et al. Outdoor human motion capture by simultaneous optimization of pose and camera parameters
Li et al. MannequinChallenge: Learning the depths of moving people by watching frozen people
Mourot et al. Underpressure: Deep learning for foot contact detection, ground reaction force estimation and footskate cleanup
Luvizon et al. Scene‐Aware 3D Multi‐Human Motion Capture from a Single Camera
Kang et al. Facial depth and normal estimation using single dual-pixel camera
Lupión et al. 3D Human Pose Estimation from multi-view thermal vision sensors
Zheng et al. Self-expressive dictionary learning for dynamic 3d reconstruction
Zhang et al. Single-frame-based deep view synchronization for unsynchronized multicamera surveillance
Imre et al. Calibration of nodal and free-moving cameras in dynamic scenes for post-production
KR102514807B1 (en) Method and Apparatus for 3D Hand Mesh Recovery in Motion Blur RGB Image
De Aguiar et al. Marker-less 3D feature tracking for mesh-based human motion capture