Le Ngo et al., 2019 - Google Patents
Seeing the invisible: Survey of video motion magnification and small motion analysisLe Ngo et al., 2019
View PDF- Document ID
- 16824447256130395362
- Author
- Le Ngo A
- Phan R
- Publication year
- Publication venue
- ACM Computing Surveys (CSUR)
External Links
Snippet
The latest techniques in video motion magnification and relevant small motion analysis are surveyed. The main motion magnification techniques are discussed in chronological fashion, highlighting the inherent limitations of predecessor techniques in comparison with …
- 238000004458 analytical method 0 title abstract description 33
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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20048—Transform domain processing
- G06T2207/20064—Wavelet transform [DWT]
-
- 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
- G06T2207/20048—Transform domain processing
- G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
-
- 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
- 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
- G06K9/00221—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
-
- 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
- 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
- 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
- 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 |
|---|---|---|
| Le Ngo et al. | Seeing the invisible: Survey of video motion magnification and small motion analysis | |
| Tong et al. | Image registration with Fourier-based image correlation: A comprehensive review of developments and applications | |
| Miao et al. | Phase-based displacement measurement on a straight edge using an optimal complex Gabor filter | |
| US9280825B2 (en) | Image processing system with registration mechanism and method of operation thereof | |
| Pattichis et al. | Analyzing image structure by multidimensional frequency modulation | |
| Minhas et al. | Shape from focus using fast discrete curvelet transform | |
| Kooij et al. | Depth-aware motion magnification | |
| Eitner et al. | Effect of broad-band phase-based motion magnification on modal parameter estimation | |
| Chen et al. | Deepmag: Source-specific change magnification using gradient ascent | |
| Wadhwa | Revealing and analyzing imperceptible deviations in images and videos | |
| Shahadi et al. | Eulerian video magnification: a review | |
| Brooks et al. | Recognition in the wavelet domain: a survey | |
| Yang et al. | Steerable pyramid with subpixel compensation for remotely measuring and magnifying dynamic vibration of moving objects | |
| Peng et al. | Full-field visual vibration measurement of rotating machine under complex conditions via unsupervised retinex model | |
| Popek et al. | A new approach to the phase-based video motion magnification for measuring microdisplacements | |
| Southwick et al. | Volumetric motion magnification: subtle motion extraction from 4D data | |
| Li et al. | Monocular human depth estimation with 3D motion flow and surface normals | |
| Xue et al. | Multi-scale adaptive factors video acceleration magnification | |
| Xu¹ et al. | 3D tongue motion visualization based on ultrasound image sequences | |
| Seibold et al. | High-quality deepfakes have a heart! | |
| Arango et al. | Subtle motion analysis and spotting using the riesz pyramid | |
| Adami et al. | rppg-sysdiagan: Systolic-diastolic feature localization in rppg using generative adversarial network with multi-domain discriminator | |
| Nguyen et al. | Object tracking of video sequences in curvelet domain | |
| Beauchemin et al. | On the fourier properties of discontinuous motion | |
| Zhou | Vibration extraction using rolling shutter cameras |