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Chapter 5

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PSYC 2390
Naseem Al- Aidroos

Chapter 5 perceiving objects and scenes the projectposed the problem of designing a machine that can locate describe and identify all objects in the environment and in addition can travel from one point to another avoiding obstacles in the way Urban challenge race November 3 2007 in Victorville Californiasponsored by DARPA requiring that vehicles drive for 55 miles through a course that resembled city streets with other moving vehicles traffic signals and signs the vehicle had to accomplish this without human involvement other than entering global positioning coordinates of the coursess layout into the vehicles guidance Carnegie Mellon University average speed of 14 mph con they cant identify which objects they are avoiding can only detect faces at certain angles at a certain brightness Why is it so difficult to design a perceiving machinethough machines have difficulties with this humans solve this problem easily The stimulus on the receptors is ambiguous the image cast by the object on your retina is ambiguous inverse projection problem a particular image on the retina can be created by many different objects called the inverse projection problem if we know an objects shape distance and orientation we can determine the shape of the objects image on the retina However if an image on the retina can be created by an infinite number of objects looking at something from a different angle can solve this problemObjects can be hidden or blurred occurs any time one object obscures part of another object people can also recognize blurred faces Objects look different from different viewpoints objects are continually changing depending on the angle from which they are viewed viewpoint invariance the ability to recognize an object seem from different viewpointssomething that machines have trouble doing peoples ability to achieve viewpoint invariance enables them to identify faces as the same person while computers depending on the angle shown cantthe difficulties facing any perceiving machine illustrate that perception is more complex Early answers to how humans overcome these complexities were provided
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