Psarras et al., 2019 - Google Patents
Visual saliency in navigation: Modelling navigational behaviour using saliency and depth analysisPsarras et al., 2019
View PDF- Document ID
- 816404047526840805
- Author
- Psarras S
- Zarkali A
- Hanna S
- et al.
- Publication year
External Links
Snippet
Spatial configuration is extensively used in spatial analysis methods to predict navigational behavior; several studies have shown a correlation of global and local space syntax metrics with the distribution of pedestrians in different settings. However, recent studies have also …
- 230000000007 visual effect 0 title abstract description 28
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
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- 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
- G06T2207/10024—Color 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
- G06K9/36—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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- 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
- 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
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00664—Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
- G06K9/00684—Categorising the entire scene, e.g. birthday party or wedding scene
-
- 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
- G06K9/00288—Classification, e.g. identification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/10—Geometric effects
- G06T15/20—Perspective computation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Yang et al. | Where is my mirror? | |
Huang et al. | Indoor depth completion with boundary consistency and self-attention | |
US11521311B1 (en) | Collaborative disparity decomposition | |
Sebe et al. | 3d video surveillance with augmented virtual environments | |
Yang et al. | 3D panoramic virtual reality video quality assessment based on 3D convolutional neural networks | |
CN109598794B (en) | Construction method of three-dimensional GIS dynamic model | |
WO2018107910A1 (en) | Method and device for fusing panoramic video images | |
Tian et al. | Depth estimation using a self-supervised network based on cross-layer feature fusion and the quadtree constraint | |
CN111126304A (en) | Augmented reality navigation method based on indoor natural scene image deep learning | |
CN110210276A (en) | A kind of motion track acquisition methods and its equipment, storage medium, terminal | |
Tang et al. | ESTHER: Joint camera self-calibration and automatic radial distortion correction from tracking of walking humans | |
JP7292492B2 (en) | Object tracking method and device, storage medium and computer program | |
CN106127799B (en) | A kind of visual attention detection method for 3 D video | |
Maugey et al. | Saliency-based navigation in omnidirectional image | |
CN109816745A (en) | Human body thermodynamic chart methods of exhibiting and Related product | |
CN113793382A (en) | Video image splicing seam searching method and video image splicing method and device | |
Li et al. | Photo-realistic simulation of road scene for data-driven methods in bad weather | |
Yu et al. | Intelligent visual-IoT-enabled real-time 3D visualization for autonomous crowd management | |
CN106530407A (en) | Three-dimensional panoramic splicing method, device and system for virtual reality | |
Li et al. | Three-dimensional traffic scenes simulation from road image sequences | |
CN108470178B (en) | Depth map significance detection method combined with depth credibility evaluation factor | |
Xie et al. | An enhanced relation-aware global-local attention network for escaping human detection in indoor smoke scenarios | |
WO2023098635A1 (en) | Image processing | |
CN116740261B (en) | Image reconstruction method and device and training method and device of image reconstruction model | |
Psarras et al. | Visual saliency in navigation: Modelling navigational behaviour using saliency and depth analysis |