[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Islam et al., 2017 - Google Patents

Robust enhancement of depth images from depth sensors

Islam et al., 2017

View PDF
Document ID
16677440497798891471
Author
Islam A
Scheel C
Pajarola R
Staadt O
Publication year
Publication venue
Computers & Graphics

External Links

Snippet

In recent years, depth cameras (such as Microsoft Kinect and ToF cameras) have gained much popularity in computer graphics, visual computing and virtual reality communities due to their low price and easy availability. While depth cameras (eg Microsoft Kinect) provide …
Continue reading at www.ifi.uzh.ch (PDF) (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
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20172Image enhancement details
    • G06T2207/20182Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • 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
    • G06T5/001Image restoration
    • G06T5/002Denoising; Smoothing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • 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
    • 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
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • 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
    • G06K9/20Image acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00Stereoscopic or multiview television systems; Details thereof
    • H04N13/0003Stereoscopic image signal coding, multiplexing, processing, recording or transmission
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00Stereoscopic or multiview television systems; Details thereof
    • H04N13/02Picture signal generators
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00Indexing scheme for image data processing or generation, in general

Similar Documents

Publication Publication Date Title
US11983893B2 (en) Systems and methods for hybrid depth regularization
Yang et al. Depth recovery using an adaptive color-guided auto-regressive model
EP1612733B1 (en) Color segmentation-based stereo 3D reconstruction system and process
Yuan et al. Image haze removal via reference retrieval and scene prior
CN107481271B (en) Stereo matching method, system and mobile terminal
US20150379720A1 (en) Methods for converting two-dimensional images into three-dimensional images
JP2009139995A (en) Unit and program for real time pixel matching in stereo image pair
Chen et al. Variational fusion of time-of-flight and stereo data for depth estimation using edge-selective joint filtering
Chen et al. A color-guided, region-adaptive and depth-selective unified framework for Kinect depth recovery
Gangisetty et al. FloodNet: Underwater image restoration based on residual dense learning
Islam et al. Robust enhancement of depth images from depth sensors
Zhang et al. Interactive stereoscopic video conversion
Tallón et al. Upsampling and denoising of depth maps via joint-segmentation
Qiu et al. Blind 360-degree image quality assessment via saliency-guided convolution neural network
Kaviani et al. An adaptive patch-based reconstruction scheme for view synthesis by disparity estimation using optical flow
Sheng et al. Online temporally consistent indoor depth video enhancement via static structure
Zhang et al. Quality Assessment for DIBR-synthesized Views based on Wavelet Transform and Gradient Magnitude Similarity
Ma et al. Depth estimation algorithm for light field data by epipolar image analysis and region interpolation
Li et al. Multi-focus image fusion based on multiscale fuzzy quality assessment
Jung et al. Visual discomfort visualizer using stereo vision and time-of-flight depth cameras
Khoddami et al. Depth map super resolution using structure-preserving guided filtering
Xiang et al. Interfered depth map recovery with texture guidance for multiple structured light depth cameras
Deng et al. Texture edge-guided depth recovery for structured light-based depth sensor
Park Cost aggregation benchmark for light field depth estimation
Zhang et al. Multi-layer and Multi-scale feature aggregation for DIBR-Synthesized image quality assessment