[go: up one dir, main page]

Saini et al., 2016 - Google Patents

Intrinsic image decomposition using focal stacks

Saini et al., 2016

View HTML
Document ID
17294629856129063802
Author
Saini S
Sakurikar P
Narayanan P
Publication year
Publication venue
Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing

External Links

Snippet

In this paper, we presents a novel method (RGBF-IID) for intrinsic image decomposition of a wild scene without any restrictions on the complexity, illumination or scale of the image. We use focal stacks of the scene as input. A focal stack captures a scene at varying focal …
Continue reading at www.academia.edu (HTML) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio 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
    • H04N5/225Television 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce

Similar Documents

Publication Publication Date Title
Wadhwa et al. Synthetic depth-of-field with a single-camera mobile phone
Valentin et al. Depth from motion for smartphone AR
Yang et al. Fast single image reflection suppression via convex optimization
Wan et al. Benchmarking single-image reflection removal algorithms
Liang et al. Programmable aperture photography: multiplexed light field acquisition
Moreno-Noguer et al. Active refocusing of images and videos
Joshi et al. Natural video matting using camera arrays
Wang et al. Occlusion-aware depth estimation using light-field cameras
CN106993112B (en) Background blurring method and device based on depth of field and electronic device
US8989517B2 (en) Bokeh amplification
CN101785025B (en) System and method for three-dimensional object reconstruction from two-dimensional images
CN101416219B (en) Foreground/background segmentation in digital images
US8953024B2 (en) 3D scene model from collection of images
Pan et al. Simultaneous stereo video deblurring and scene flow estimation
Shi et al. Break ames room illusion: depth from general single images
US20190088004A1 (en) Method and system of 3d reconstruction with volume-based filtering for image processing
CN107113373B (en) Method in electronic information processing system and information processing system
US20130215239A1 (en) 3d scene model from video
Gurdan et al. Spatial and temporal interpolation of multi-view image sequences
Badki et al. Computational zoom: A framework for post-capture image composition
Zhao et al. Geofill: Reference-based image inpainting with better geometric understanding
Saini et al. Intrinsic image decomposition using focal stacks
CN111754561B (en) Light field image depth recovery method and system based on self-supervision deep learning
von Buelow et al. Depth-of-field segmentation for near-lossless image compression and 3d reconstruction
Leimkühler et al. Perceptual real-time 2D-to-3D conversion using cue fusion