At the same time, AI MIT laboratory has attracted many famous scholars from the world to participate in the research of machine vision,which included the theory of machine vision , algorithm and design of system . Professor David Marr in 1973 was invited to lead a research team which is consisted of doctoral students in the MIT AI Lab .in 1977,David Marr put forward a new computer vision theory which is different from the past theory which is build on the analysis method of "blocks world".in the 1980s,his theory had become a very important theoretical framework in the field of machine vision .

Later, people began to makes a deep study of block world and establish a variety of data structures and inference rules.The
scope of the study is abroad,which include the feature extraction


Stage 1: Research on the visual basic method ,which take the model world as the main object; Stage 2: Research on computational theory; visual model ,which is based on the


the research scope of the block world is extensive. it includes the feature extraction of edge and corner,the geometric factor analysis of line and plane.It also build a variety of data structures and inference rules. In the middle of 70's,artificial intelligence (AI) laboratory of Massachusetts Institute of Technology (MIT) officially opened the "machine vision" course.

In the work of Roberts, the relationship between 3D objects and 2D imaging is introduced, and some simple methods of feature extraction are introduced.

2The second purpose is to calculate the Motion parameters from the observation point to the object according to one or more 2D images; 3 T h e third purpose is to c a l c u l a t e t h e p h y s i c a l characteristics from the observation point to the object according to one or more 2D images; There are two ultimate goal that computer vision will realize, they can be simply described as follow:

the simulation of human visual perception generation of computer vision.
Specifically, purpose. computer vision will
leads to the

achieve three basic

1The first purpose is to calculate the distance from the observation point to the object according to one or more 2D images;
Computer Vision
Computer vision research

At the end of the 1950s, computers had became an important tool for human beings to realize the human intelligence and human perception, with the help of computer, For the first time, human beings can realize the extension of mental and perceptual ability as well as the extension of physical strength with the aid of the machine.


In 1991, the publication is divided into two versions, which are CVGIPGMIP (graphics model and image processing) and CVGIP-IU (image underuter vision research

After nearly 50 years, research in computer vision has made considerable achievements. This makes the field to become the most active part of the AI research in the past 40 years. Its mainstream research is divided into three stages:

In 1995, the publication become two magazine . the former named GMIP (graphics model and image processing), the latter named CVIU (computer vision and image understanding). The upsurge of research on computer vision began in 1980s, and in the middle of 80's, the computer vision has developed rapidly, new concepts, new methods and new theories have emerged. So far, computer vision is still a very active research area.




Changes in the name of a publication can reflect the progress of computer vision: 1972, CGIP (computer graphics and image processing) publication; In 1983, its name is processing); CVGIP (computer vision, graphics and image

1960s: Roberts (1965) use a computer program to extracte the threedimensional structure of a polyhedron from the digital images .he also describe the shape and the spatial relationship of objects.

Roberts created a new situation for the research of computer vision . his purpose of research began to become the understanding the threedimensional scene.

History of computer vision

1950s: in this period , statistical pattern recognition is most applied in computer vision , it mainly focuse on the analysis and identification of two-dimensional image,such as: optical character recognition, the surface of the workpiece, the analysis and interpretation of the aerial image.