matching images
1Matching pursuit — Signal reconstruction with matching pursuit algorithm. Matching pursuit is a type of numerical technique which involves finding the best matching projections of multidimensional data onto an over complete dictionary D. The basic idea is to… …
2Template matching — is a technique in Digital image processing for finding small parts of an image which match a template image. It can be used in manufacturing as a part of quality control, [Aksoy, M. S., O. Torkul, and I. H. Cedimoglu. An industrial visual… …
3Algorithme de block-matching — Un algorithme de block matching ((en) Block Matching Algorithm) est une méthode utilisée pour encoder le mouvement dans une séquence vidéo en localisant des blocs similaires entre deux images. En compression vidéo, plusieurs normes vidéo telles… …
4Elastic Matching — is one of the pattern recognition technique in computer science. Elastic matching (EM) is also known as deformable template, flexible matching, or nonlinear template matching.Elastic matching can be defined as an optimization problem of two… …
5Reconstruction 3D à partir d'images — La reconstruction 3D à partir d images, image based 3D reconstruction en anglais, désigne la technique qui permet d obtenir une représentation en trois dimensions d un objet ou d une scène à partir d un ensemble d images prises sous différents… …
6Precious Images — Infobox Film name = Precious Images image size = caption = director = Chuck Workman producer = Chuck Workman writer = narrator = starring = music = cinematography = editing = Chuck Workman distributor = released = 1986 runtime = 8 minutes country …
7Scale-invariant feature transform — Feature detection Output of a typical corner detection algorithm …
8Harris affine region detector — In the fields of computer vision and image analysis, the Harris affine region detector belongs to the category of feature detection. Feature detection is a preprocessing step of several algorithms that rely on identifying characteristic points or …
9Color Layout Descriptor — (CLD) is designed to capture the spatial distribution of color in an image. The feature extraction process consists of two parts; grid based representative color selection and Discrete Cosine Transform with quantization. Color is the most basic… …
10Object recognition (computer vision) — Feature detection Output of a typical corner detection algorithm …
