This is simply 'object recognition'. When a lion approaches us, we realise through prior knowledge that the animal is known to be ferocious, dangerous and sometimes doesn't hesitate to kill. With this information we are able to make instant decisions as to the next course of action. A meal at a dinner table tells us it is edible and we can approach it. This 'spatial localisation' is the establishing of where objects are in the surrounding space and time, and is also an important aspect for survival. Another factor necessary for survival is 'perceptual constancy'. This is when objects, although the eyes perceive them to be in motion, are kept constant in terms of appearance. Object recognition, spatial localisation and perceptual constancy are the three main characteristics of perception.
One theory that aims to explain object recognition and constancy is Marr's theory which concerns itself with visual processing. It is also called the computational approach which involves taking two dimensional images and extracting valuable three-dimensional information from them. This theory requires examining the levels of grey in an image, creating a rough sketch, then a 2.5D sketch and representing the image as a 3D model. Marr's model of object recognition is concerned with drafting out representations of objects with increasing amount of information. The first step in this representation is creating the raw or full primal sketch. Raw primal sketches contain data regarding the light intensity variations of a shape or scene. A full primal sketch makes use of this data to determine how many outlines and objects are contained within the scene. The light intensity changes provided in the raw primal sketch gives the level of grey representation contained within the pixels of the image.
Computation on the properties shape can begin when it has become coloured i.e. detached from the background. Properties like symmetry, centre of mass, size aspect ratios are likely to offer clues as to the object's identity. The centre of mass or medial axis from the skeleton of the object is crucial to analysing the shape of the object. The use of structural primitives and spatial relationships to represent an object lies in the determination of the medial axis. This would enable us to construct a 3D model of the object. Marr explains that a 2.5D surface sketch helps to represent the visible surface. A computer vision system could reconstruct the surface with this process. Boundary detection is difficult even with advanced edge locators, but can be achieved by surface reconstruction.
The other model is Biederman's 'recognition by components' theory views all object and forms as being comprised of basic geometrical forms or 'geons'. Pattern recognition therefore is the simple identifying of these separate components. But objects need not necessarily be comprised of different components for them to be recognisable. Simple line drawings may suffice. The drawings of matchstick men, or outlines of cars or buildings, are still recognisable. Additional information such as size, colour, orientation, surface quality paints the whole picture, but it is the overall shape that is of primary importance (Biederman in Atkinson 2000, pp 164). When a silhouette of a four legged animal is shown, it is fairly easy to identify
Object recognition is a complex phenomenon, involving constant object representation while dealing with inconsistent visual stimuli. Our perception of an object's identity can endure no matter what forces act on the object in the environment. The object may be compelled to reorient itself, alter in perspective and even fleetingly disappear…
The author has rightly presented that global processing is basically about processing an image holistically. It is dominated by global precedence with an individual identifying features based on global, not local, elements. In general, global precedence is used over local parameters, however, for certain individuals, they may be more inclined to consider local features.
In this essay, we attempt to critically evaluate the three theoretical models of opportunity recognition. We also look at the impact of cognition, social and human capital on the opportunity recognition process. We structure our essay in this manner: in our first section, we explore the various theoretical constructs that underpin opportunity recognition and how they contribute to the field of entrepreneurship.
Given the value of being able to recognize faces, both at the individual level, and at the social level; research in cognitive sciences has helped in understanding the principles that affect this process and the problems and errors that are likely to be committed.
Assuming that present information concerning an object appears in two dimensions within the eye retina, there are many possibilities of confusing the same object with another thus substantiating visual recognition (Bruce, Green and Georgeson 265). Humans have an extraordinary object recognition right from birth with the ability to identify a certain object regardless of its disparity in appearance.
Evocative Object The new industrial development has brought about many changes that include economical, technological, physical, social, agricultural, and generally in almost all human aspects. Among such changes are the information and communication technologies (ICT).
According to the experiments, findings point out that sight recognition across view variations depends on a mechanism that informs a representation based on a viewer during the observed movements, a certain mechanism that is not accessible for orientation variations. The outcomes link discoveries from spatial tasks to work on scene recognition.
Moreover, the fact that this was a handmade teacup, with slight defects in its shape seemed to make it unique work of art to me, though meant also for some utility. It could very well be used as a showpiece, but I decided to use it everyday if
ncement are evident in the industrial world, agriculture, economy, education, entertainment, sports, leadership, communication, transport, and other areas affecting humanity. Indeed, engineers, doctors, students, tutors, and other personalities have taken a big step in using
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