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

Vijayanagar et al., 2012 - Google Patents

Refinement of depth maps generated by low-cost depth sensors

Vijayanagar et al., 2012

Document ID
2769234376512946500
Author
Vijayanagar K
Loghman M
Kim J
Publication year
Publication venue
2012 International SoC Design Conference (ISOCC)

External Links

Snippet

With the introduction of the Microsoft Kinect into the gaming industry and release of Kinect- based application development kits, a whole new industry has evolved around the Kinect with applications for gaming, gesture recognition for controlling devices, 3-D communication …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • 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
    • G06T2207/20172—Image enhancement details
    • G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • 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
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/001—Image restoration
    • G06T5/002—Denoising; Smoothing
    • 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
    • G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
    • 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
    • G06T5/001—Image restoration
    • G06T5/005—Retouching; Inpainting; Scratch removal
    • 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
    • G06T7/00—Image analysis
    • 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
    • G06K9/62—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
    • G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image

Similar Documents

Publication Publication Date Title
Vijayanagar et al. Refinement of depth maps generated by low-cost depth sensors
Chen et al. Depth image enhancement for Kinect using region growing and bilateral filter
Ahn et al. A novel depth-based virtual view synthesis method for free viewpoint video
Daribo et al. Depth-aided image inpainting for novel view synthesis
CN109963048B (en) Noise reduction method, noise reduction device and noise reduction circuit system
CN107025660B (en) Method and device for determining image parallax of binocular dynamic vision sensor
CN108229319A (en) The ship video detecting method merged based on frame difference with convolutional neural networks
Vijayanagar et al. Real-time refinement of kinect depth maps using multi-resolution anisotropic diffusion
Hua et al. Extended guided filtering for depth map upsampling
Luo et al. Foreground removal approach for hole filling in 3D video and FVV synthesis
Jang et al. Discontinuity preserving disparity estimation with occlusion handling
Xu et al. Depth map misalignment correction and dilation for DIBR view synthesis
Kim et al. Joint-adaptive bilateral depth map upsampling
Hui et al. Depth enhancement using RGB-D guided filtering
Schmeing et al. Edge-aware depth image filtering using color segmentation
Soh et al. Superpixel-based depth image super-resolution
Wang et al. Example-based video stereolization with foreground segmentation and depth propagation
Chang et al. Superpixel-based large displacement optical flow
Liu et al. Infrared ship target image smoothing based on adaptive mean shift
Xu et al. Spatial-temporal depth de-noising for Kinect based on texture edge-assisted depth classification
Wei et al. Iterative depth recovery for multi-view video synthesis from stereo videos
Daribo et al. Bilateral depth-discontinuity filter for novel view synthesis
Chiu et al. Voting-based depth map refinement and propagation for 2D to 3D conversion
Chiu et al. Super-resolution reconstruction for kinect 3D data
Wei et al. Video synthesis from stereo videos with iterative depth refinement