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

Jacobson et al., 2011 - Google Patents

An online learning approach to occlusion boundary detection

Jacobson et al., 2011

View PDF
Document ID
4069969789058520051
Author
Jacobson N
Freund Y
Nguyen T
Publication year
Publication venue
IEEE Transactions on Image Processing

External Links

Snippet

We propose a novel online learning-based framework for occlusion boundary detection in video sequences. This approach does not require any prior training and instead “learns” occlusion boundaries by updating a set of weights for the online learning Hedge algorithm at …
Continue reading at www.ttcenter.ir (PDF) (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
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • 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
    • G06K9/6261—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation partitioning the feature space
    • 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
    • G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • G06K9/4609—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • 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
    • G06K9/62—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
    • 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
    • G06T11/00—2D [Two Dimensional] image generation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Xie et al. Multilevel cloud detection in remote sensing images based on deep learning
US11908244B2 (en) Human posture detection utilizing posture reference maps
CN111325851B (en) Image processing method and device, electronic equipment and computer readable storage medium
McCormac et al. Semanticfusion: Dense 3d semantic mapping with convolutional neural networks
Wu et al. Stereo matching with fusing adaptive support weights
Luo et al. 3d-ssd: Learning hierarchical features from rgb-d images for amodal 3d object detection
Jian et al. The extended marine underwater environment database and baseline evaluations
US9311534B2 (en) Method and apparatus for tracking object
Yu et al. A novel algorithm for view and illumination invariant image matching
CN105139004B (en) Facial expression recognizing method based on video sequence
Henderson et al. Unsupervised object-centric video generation and decomposition in 3D
CN109684969B (en) Gaze position estimation method, computer device, and storage medium
Fang et al. A novel superpixel-based saliency detection model for 360-degree images
Lv et al. 4D light field segmentation from light field super-pixel hypergraph representation
Palou et al. Monocular depth ordering using T-junctions and convexity occlusion cues
Jacobson et al. An online learning approach to occlusion boundary detection
CN111311611B (en) Real-time three-dimensional large-scene multi-object instance segmentation method
Rout et al. Walsh–Hadamard-kernel-based features in particle filter framework for underwater object tracking
Yuan et al. Contextualized spatio-temporal contrastive learning with self-supervision
CN117372604B (en) 3D face model generation method, device, equipment and readable storage medium
Zanaty et al. A novel approach based on genetic algorithms and region growing for magnetic resonance image (MRI) segmentation
Fazekas et al. Analysis and performance evaluation of optical flow features for dynamic texture recognition
Chen et al. Intra-and inter-reasoning graph convolutional network for saliency prediction on 360° images
Hempel et al. Pixel-wise motion segmentation for SLAM in dynamic environments
CN118251698A (en) Novel view synthesis of robust NERF model for sparse data