|
Harris Affine Region Detector
In the fields of computer vision and image analysis, the Harris affine region detector belongs to the category of Feature detection (computer vision), feature detection. Feature detection is a preprocessing step of several algorithms that rely on identifying characteristic points or Interest point detection, interest points so to make correspondences between images, recognize textures, categorize objects or build panoramas. Overview The Harris affine detector can identify similar regions between images that are related through affine transformations and have different illuminations. These ''affine-invariant'' detectors should be capable of identifying similar regions in images taken from different viewpoints that are related by a simple geometric transformation: scaling, rotation and shearing. These detected regions have been called both ''invariant'' and ''covariant''. On one hand, the regions are detected ''invariant'' of the image transformation but the regions ''covariantly' ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Computer Vision
Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to understand and automate tasks that the human visual system can do. Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the forms of decisions. Understanding in this context means the transformation of visual images (the input of the retina) into descriptions of the world that make sense to thought processes and can elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. The scientific discipline of computer vision is concerned with the theory ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Convolution
In mathematics (in particular, functional analysis), convolution is a operation (mathematics), mathematical operation on two function (mathematics), functions ( and ) that produces a third function (f*g) that expresses how the shape of one is modified by the other. The term ''convolution'' refers to both the result function and to the process of computing it. It is defined as the integral of the product of the two functions after one is reflected about the y-axis and shifted. The choice of which function is reflected and shifted before the integral does not change the integral result (see #Properties, commutativity). The integral is evaluated for all values of shift, producing the convolution function. Some features of convolution are similar to cross-correlation: for real-valued functions, of a continuous or discrete variable, convolution (f*g) differs from cross-correlation (f \star g) only in that either or is reflected about the y-axis in convolution; thus it is a cross-c ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Hessian-Affine
The Hessian affine region detector is a feature detector used in the fields of computer vision and image analysis. Like other feature detectors, the Hessian affine detector is typically used as a preprocessing step to algorithms that rely on identifiable, characteristic interest points. The Hessian affine detector is part of the subclass of feature detectors known as ''affine-invariant'' detectors: Harris affine region detector, Hessian affine regions, maximally stable extremal regions, Kadir–Brady saliency detector, edge-based regions (EBR) and intensity-extrema-based (IBR) regions. Algorithm description The Hessian affine detector algorithm is almost identical to the Harris affine region detector. In fact, both algorithms were derived bKrystian MikolajczykanCordelia Schmidin 2002, based on earlier work in, see also for a more general overview. How does the Hessian affine differ? The Harris affine detector relies on interest points detected at multiple scales using the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Miko04 2
A , or shrine maiden,Groemer, 28. is a young priestess who works at a Shinto shrine. were once likely seen as shamans,Picken, 140. but are understood in modern Japanese culture to be an institutionalized role in daily life, trained to perform tasks, ranging from sacred cleansing to performing the sacred dance. Appearance The traditional attire of a is a pair of red (divided, pleated trousers), a white (a predecessor of the kimono), and some white or red hair ribbons. In Shinto, the color white symbolizes purity. The garment put over the during dances is called a . Traditional tools include the , the (offertory -tree branches), and the . also use bells, drums, candles, , and bowls of rice in ceremonies. Definition The Japanese words and ("female shaman" and "shrine maiden" respectively)Kokugo Dai Jiten Dictionary, Revised edition, Shogakukan, 1988. are usually written as a compound of the kanji ("shaman"), and ("woman"). was archaically written (, or "g ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Kadir Brady Saliency Detector
Kadir is the primary transliteration of two Arabic male given names ( ar, قادر, also spelled Ghader, Kader, Qader, Qadir or Quadir) and ( ar, قدیر, also spelled Ghadir, Kadeer, Qadeer or Qadir). It's also one of the names of God in Islam, meaning "''Almighty''". Kadeer * Kadeer Ali (born 1983), English cricketer Kader * Kader Abdolah (born 1954), Iranian-Dutch writer, poet and columnist * Kader Arif (born 1959), French politician * Kader Asmal (1934–2011), South African politician * Kader Hançar (corn 1999), Turkish women's footballer * Kader Khan (born 1937), Indian film actor * Abdel Kader Sylla (born 1990), Seychelles basketball player Kadir * Elishay Kadir (born 1987), Israeli basketball player * Syed Abdul Kadir (born 1948), Singaporean boxer * Kadir Arslan (born 1977), Turkish volleyball player * Kadir Cin (born 1987), Turkish volleyball player * Kadir İnanır (born 1949), Turkish film actor and director * Kadir Keleş (born 1988), Turkish footballer * Kadir ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Hessian Affine
The Hessian affine region detector is a feature detector used in the fields of computer vision and image analysis. Like other feature detectors, the Hessian affine detector is typically used as a preprocessing step to algorithms that rely on identifiable, characteristic interest points. The Hessian affine detector is part of the subclass of feature detectors known as ''affine-invariant'' detectors: Harris affine region detector, Hessian affine regions, maximally stable extremal regions, Kadir–Brady saliency detector, edge-based regions (EBR) and intensity-extrema-based (IBR) regions. Algorithm description The Hessian affine detector algorithm is almost identical to the Harris affine region detector. In fact, both algorithms were derived bKrystian MikolajczykanCordelia Schmidin 2002, based on earlier work in, see also for a more general overview. How does the Hessian affine differ? The Harris affine detector relies on interest points detected at multiple scales using ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Miko Presentation CompareRegions
A , or shrine maiden,Groemer, 28. is a young priestess who works at a Shinto shrine. were once likely seen as shamans,Picken, 140. but are understood in modern Japanese culture to be an institutionalized role in daily life, trained to perform tasks, ranging from sacred cleansing to performing the sacred dance. Appearance The traditional attire of a is a pair of red (divided, pleated trousers), a white (a predecessor of the kimono), and some white or red hair ribbons. In Shinto, the color white symbolizes purity. The garment put over the during dances is called a . Traditional tools include the , the (offertory -tree branches), and the . also use bells, drums, candles, , and bowls of rice in ceremonies. Definition The Japanese words and ("female shaman" and "shrine maiden" respectively)Kokugo Dai Jiten Dictionary, Revised edition, Shogakukan, 1988. are usually written as a compound of the kanji ("shaman"), and ("woman"). was archaically written (, or "g ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Overlap Region
Overlap may refer to: * In set theory, an overlap of elements shared between sets is called an intersection, as in a Venn diagram. * In music theory, overlap is a synonym for reinterpretation of a chord at the boundary of two musical phrases * Overlap (railway signalling), the length of track beyond a stop signal that is proved to be clear of obstructions as a safety margin * Overlap (road), a place where multiple road numbers overlap * Overlap (term rewriting), in mathematics, computer science, and logic, a property of the reduction rules in term rewriting systems * Overlap add, an efficient convolution method using FFT * Overlap coefficient, a similarity measure between sets * Orbital overlap, important concept in quantum mechanics describing a type of orbital interaction that affects bond strength Overlapping can refer to: * "Reaching over", term in Schenkerian theory, see Schenkerian analysis#Lines between voices, reaching over See also * Overlay (other) Overlay m ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Homography (computer Vision)
In the field of computer vision, any two images of the same planar surface in space are related by a homography (assuming a pinhole camera model). This has many practical applications, such as image rectification, image registration, or camera motion—rotation and translation—between two images. Once camera resectioning has been done from an estimated homography matrix, this information may be used for navigation, or to insert models of 3D objects into an image or video, so that they are rendered with the correct perspective and appear to have been part of the original scene (see Augmented reality). 3D plane to plane equation We have two cameras ''a'' and ''b'', looking at points P_i in a plane. Passing from the projection ^bp_i=\left(^bu_i;^bv_i;1\right) of P_i in ''b'' to the projection ^ap_i=\left(^au_i;^av_i;1\right) of P_i in ''a'': : ^ap_i = \fracK_a \cdot H_ \cdot K_b^ \cdot ^bp_i where ^az_i and ^bz_i are the z coordinates of P in each camera frame and where the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Miko04 1
A , or shrine maiden,Groemer, 28. is a young priestess who works at a Shinto shrine. were once likely seen as shamans,Picken, 140. but are understood in modern Japanese culture to be an institutionalized role in daily life, trained to perform tasks, ranging from sacred cleansing to performing the sacred dance. Appearance The traditional attire of a is a pair of red (divided, pleated trousers), a white (a predecessor of the kimono), and some white or red hair ribbons. In Shinto, the color white symbolizes purity. The garment put over the during dances is called a . Traditional tools include the , the (offertory -tree branches), and the . also use bells, drums, candles, , and bowls of rice in ceremonies. Definition The Japanese words and ("female shaman" and "shrine maiden" respectively)Kokugo Dai Jiten Dictionary, Revised edition, Shogakukan, 1988. are usually written as a compound of the kanji ("shaman"), and ("woman"). was archaically written (, or "g ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Scale-invariant Feature Transform
The scale-invariant feature transform (SIFT) is a computer vision algorithm to detect, describe, and match local ''features'' in images, invented by David Lowe in 1999. Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving. SIFT keypoints of objects are first extracted from a set of reference images and stored in a database. An object is recognized in a new image by individually comparing each feature from the new image to this database and finding candidate matching features based on Euclidean distance of their feature vectors. From the full set of matches, subsets of keypoints that agree on the object and its location, scale, and orientation in the new image are identified to filter out good matches. The determination of consistent clusters is performed rapidly by using an efficient hash table implementation of the generalised Hough transf ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
_(cropped).png "Click for more on -> Computer Vision")
.jpg "Click for more on -> Miko04 2")
