Yang et al., 2018 - Google Patents
A novel crowd-resilient visual localization algorithm via robust PCA background extractionYang et al., 2018
View PDF- Document ID
- 12317893428795471838
- Author
- Yang Z
- Duarte M
- Ganz A
- Publication year
- Publication venue
- 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
External Links
Snippet
We present a novel egocentric visual localization algorithm for an indoor navigation system, called PERCEPT-V, which is designed to assist the blind and visually impaired users traveling independently in an unfamiliar indoor space. Through the integration of a …
- 230000004807 localization 0 title abstract description 50
Classifications
-
- 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
- G06K9/20—Image acquisition
- G06K9/32—Aligning or centering of the image pick-up or image-field
- G06K9/3233—Determination of region of interest
-
- 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
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- 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
- G06K9/00221—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
- 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
- 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
- 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
-
- 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
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/0068—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for image registration, e.g. elastic snapping
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Guzov et al. | Human poseitioning system (hps): 3d human pose estimation and self-localization in large scenes from body-mounted sensors | |
Simo-Serra et al. | Single image 3D human pose estimation from noisy observations | |
Han et al. | Fusion of color and infrared video for moving human detection | |
Kliper-Gross et al. | Motion interchange patterns for action recognition in unconstrained videos | |
JP5417494B2 (en) | Image processing method and system | |
US7778446B2 (en) | Fast human pose estimation using appearance and motion via multi-dimensional boosting regression | |
US7747106B2 (en) | Method and system for filtering, registering, and matching 2.5D normal maps | |
Salih et al. | Comparison of stochastic filtering methods for 3D tracking | |
Mehrizi et al. | Toward marker-free 3D pose estimation in lifting: A deep multi-view solution | |
CN103530599A (en) | Method and system for distinguishing real face and picture face | |
Martinez et al. | Stereo-based aerial obstacle detection for the visually impaired | |
Mekhalfi et al. | A compressive sensing approach to describe indoor scenes for blind people | |
JP5936561B2 (en) | Object classification based on appearance and context in images | |
Martins et al. | Extending maps with semantic and contextual object information for robot navigation: a learning-based framework using visual and depth cues | |
JP2018120283A (en) | Information processing device, information processing method and program | |
CN106407978B (en) | Method for detecting salient object in unconstrained video by combining similarity degree | |
Sellami et al. | An invariant similarity registration algorithm based on the analytical fourier-mellin transform | |
Yang et al. | A novel crowd-resilient visual localization algorithm via robust PCA background extraction | |
Huang et al. | Estimating human pose from occluded images | |
Fahmy et al. | Stereo vision based depth estimation algorithm in uncalibrated rectification | |
Yang et al. | Design flow of motion based single camera 3D mapping | |
Raza et al. | Depth extraction from videos using geometric context and occlusion boundaries | |
Wang et al. | Human action categorization using conditional random field | |
Cosma et al. | Camloc: Pedestrian location detection from pose estimation on resource-constrained smart-cameras | |
Kwolek | Visual odometry based on gabor filters and sparse bundle adjustment |