Object space helps you to keep the data in the right place. Image space is more flexible and easier to use.
An image is an optical representation of an object.... Object is real... while image is not... i thnk the word imaginary fits for image.... we can take example of our shadow... when light falls on us ( object ) it creates an image (shadow ) in the ground....
Yes
Concave mirrors are used to give an erect and enlarged image of an object. The image formed is virtual, upright, and magnified when the object is placed between the focal point and the mirror's surface.
A shadow does not show the details of the object whereas an image shows the exact details of the object.A shadow is formed due to blocking of light by an opaque object, while the image is formed due to reflection from an opaque, smooth and shiny surface.A shadow is always dark while the image shows true colors of the object.
when dealing with a flat mirror object-distance and image-distance should be equal.
Vector graphics using the graphics function to record the color, size and other attributes. Zoom in and out of any object, no image distortion and will reduce quality. Nor will it affect the file size. A clear outline of the performance of vector graphics, commonly used in the production of some of the logo graphics.
If the image is upside up view of the given object than it is called Inverted Image. If it remains as the object than it is called Erect Image
A mirror image is a reflection that appears to be reversed left to right, while an object is a physical entity that exists in space. In a mirror image, the image appears as if you were looking at the object's reflection in a mirror.
There is always a confusion among the newbies about the difference between Image Processing and Computer Graphics. Unless specifically mentioned , Computer Graphics is all about Synthesizing a new image from Geometry , Lighting parameters , Materials and Textures . The Emphasis is on Digital Image Synthesis. Image Processing is the process of manipulating an image acquired through some device . The image too often will be acquired from photographs,scanners , medical equipments. The emphasis is on Analysis and Enhancement of the image. Computer Vision is an area where Image Analysis is used a lot. Raster Operations dominate in the case of image processing. In the case of Computer Graphics , you will mix vector and raster operations to generate the final image.
An object refers to the physical thing being observed, while an image is a reproduction or representation of the object, typically in a visual form. The object exists in reality, while the image can be a reflection, photograph, drawing, or any other representation of the object.
In imaging science, image processing is any form of signal processing for which the input is an image, such as a photograph or video frame; the output of image processing may be either an image or a set of characteristics or parameters related to the imageComputer graphics are graphics created using computers and, more generally, the representation and manipulation of image data by a computer with help from specialized software andhardware
image distance is the distance from the point of incidence on the mirror, the where the image is reflected to.object distance is the distance from the actual object being reflected to the point of incidence on the mirror where it's reflected as an image.
The image formed at the retina is always real and inverted but the brain interprets it as erect. the object you see will not be inverted.
Image is a real world picture while graphics is a computer generated picture
ACM Java graphics programs run in a window called the graphics window. If the location is outside of the graphics window then the object is not visible.
Computer Graphics: Synthesize pictures from mathematical or geometrical models.Image Processing: analyze pictures to derive descriptions (often in mathematical or geometrical forms) of objects appeared in the pictures.
This command looks for object edges, object edges or any edges are determined wit difference between neighboring pixels.