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

Ambellouis et al., 2006 - Google Patents

Velocity selective filters recursively implemented in the spatiotemporal domain

Ambellouis et al., 2006

Document ID
10087276615084965856
Author
Ambellouis S
Cabestaing F
Postaire J
Publication year
Publication venue
IEEE transactions on image processing

External Links

Snippet

Energy-based methods for motion estimation in image sequences process the input data either in the spatiotemporal or in the frequency domain. In both cases, the algorithms already described in the literature often require a huge number of elementary operations. In …
Continue reading at ieeexplore.ieee.org (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
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component 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
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • 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
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • 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
    • G06T3/40—Scaling the whole image or part thereof
    • 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

Similar Documents

Publication Publication Date Title
Haußecker et al. Motion
Simoncelli Distributed representation and analysis of visual motion
Burt The pyramid as a structure for efficient computation
Canny A computational approach to edge detection
Shah Fundamentals of computer vision
Faugeras On the motion of 3d curves and its relationship to optical flow
Kimura et al. A convolver-based real-time stereo machine (SAZAN)
Mota et al. Analytic solutions for multiple motions
CN112184767A (en) Method, device, equipment and storage medium for tracking moving object track
Wang et al. Paul: Procrustean autoencoder for unsupervised lifting
Ye et al. Depth super-resolution via deep controllable slicing network
Ambellouis et al. Velocity selective filters recursively implemented in the spatiotemporal domain
Ting et al. Edge preserving interpolation of digital images using fuzzy inference
Pradeep et al. VLSI implemetation of euler number computation and stereo vision concept for cordic based image registration
Rovid et al. 3D model estimation from multiple images
Cappellini Time-Varying Image Processing and Moving Object Recognition: Proceedings of the 4th International Workshop Florence, Italy, June 10-11, 1993
Uke et al. Efficient method for detecting and tracking moving objects in video
Granlund et al. Issues in robot vision
Vermeulen et al. Karhunen-Loeve techniques for optimal processing of time sequential imagery
Crinon et al. Adaptive model-based motion estimation
Favorskaya et al. Computer Vision in Control Systems—6: Advances in Practical Applications
Chang et al. Image sequence correspondence via a Hopfield neural network
Rahgozar et al. Motion estimation based on time-sequentially sampled imagery
Amini et al. Accelerated convolutions for efficient multi-scale time to contact computation in Julia
Mengistu Mixing classical and learning-based methods for depth completion