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

Zhao et al., 2010 - Google Patents

Image processing based recognition of images with a limited number of pixels using simulated prosthetic vision

Zhao et al., 2010

Document ID
3380135693156957242
Author
Zhao Y
Lu Y
Tian Y
Li L
Ren Q
Chai X
Publication year
Publication venue
Information Sciences

External Links

Snippet

Visual prostheses based on micro-electronic technologies and biomedical engineering have been demonstrated to restore vision to blind individuals. It is necessary to determine the minimum requirements to achieve useful artificial vision for image recognition. To find the …
Continue reading at www.sciencedirect.com (other versions)

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
    • G06K9/00221—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
    • 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
    • G06K9/20—Image acquisition
    • 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
    • G06K9/00597—Acquiring or recognising eyes, e.g. iris verification
    • 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
    • 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
    • G06K9/00006—Acquiring or recognising fingerprints or palmprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B21/00—Teaching, or communicating with, the blind, deaf or mute
    • G09B21/001—Teaching or communicating with blind persons
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation

Similar Documents

Publication Publication Date Title
Zhao et al. Image processing based recognition of images with a limited number of pixels using simulated prosthetic vision
Kwasigroch et al. Deep CNN based decision support system for detection and assessing the stage of diabetic retinopathy
Sanchez-Garcia et al. Semantic and structural image segmentation for prosthetic vision
Chen et al. Simulating prosthetic vision: I. Visual models of phosphenes
US9795786B2 (en) Saliency-based apparatus and methods for visual prostheses
Guo et al. Optimization of visual information presentation for visual prosthesis
Chang et al. Facial identification in very low-resolution images simulating prosthetic vision
Thorn et al. Virtual reality simulation of epiretinal stimulation highlights the relevance of the visual angle in prosthetic vision
Irons et al. Face identity recognition in simulated prosthetic vision is poorer than previously reported and can be improved by caricaturing
Wang et al. Face recognition in simulated prosthetic vision: face detection-based image processing strategies
CN112017185A (en) Focus segmentation method, device and storage medium
Wang et al. Image processing strategies based on a visual saliency model for object recognition under simulated prosthetic vision
Groen et al. Low-level contrast statistics are diagnostic of invariance of natural textures
Li et al. Image recognition with a limited number of pixels for visual prostheses design
Morillas et al. A design framework to model retinas
Denis et al. Simulated prosthetic vision: improving text accessibility with retinal prostheses
Guo et al. Object recognition under distorted prosthetic vision
Zurawel et al. Reconstruction of shape contours from V1 activity at high resolution
Boyle et al. Challenges in digital imaging for artificial human vision
Benetatos et al. Assessing vision quality in retinal prosthesis implantees through deep learning: Current progress and improvements by optimizing hardware design parameters and rehabilitation
Nandakumar et al. How little do we need for 3-d shape perception?
Subramaniam et al. Simulating prosthetic vision with disortions for retinal prosthesis design
CN106446810A (en) Computer vision method used for mental state analysis
Walsh et al. Inversion produces opposite size illusions for faces and bodies
Chikhman et al. Incomplete figure perception and invisible masking