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Computer Vision is the science of making machines see It is a broad collection of disciplines rather than just a set of algorithms It could be used to describe just about any process whose input or output consists of visual data This data can be in the form of still images, infrared footage, or video, for example Computer Vision has been researched for over 40 years However, it can still be said to be in its infancy This is understandable as processing visual data requires a huge amount of computing power Take, for example, the old NTSC standard for video, with a resolution of 640 480 (just over 03 megapixels) and running at 30 frames per second This corresponds to 92 million pixels per second Using 8 bits to represent each color channel, you end up with 276 MB/s.



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Recently, LEGO introduced a LEGO actuator that is included in their Power Functions system (see Figure 9 11). The actuator itself is not powered, so it is allowed to be used in FLL events. The LEGO actuator can extend to a length of five LEGO studs, about 1.6 inches. It has an internal torque gearing system that will prevent over extending, and about 26 full turns are needed to extend the actuator completely. The actuator is not included in any LEGO MINDSTORMS kits, so this is something you d have to buy separately from LEGO.





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For comparison, the human eye has around 120 million photoreceptors, or 400 times NTSC s resolution Now that s a lot of data! Only recently have computers become powerful enough to perform more interesting visual processing tasks Thanks to Moore s law, rapid advances have been made The goal of a Computer Vision algorithm is to build models from visual data, reducing enormous floods of pixel data to simpler representations of regions, contours, and properties These representations are far easier to manipulate and usually less sensitive to noise They can be further refined so that object detection and tracking, face recognition, pose estimation, scene segmentation, texture extraction, or image rectification can be performed When these models are then used to modify the original visual data, the process is said to produce an Augmented Reality However, computing capacity isn t the only hurdle in the way of processing vision.

Figure 7-15. Use the options in the Keyboard Accessibility Audio Feedback window for audio/visual support for your keyboard activity.

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The problems themselves are inherently hard Some reasons are the following: Reconstructing a 3D scene from 2D data is mathematically impossible There are infinitely many possible scene arrangements that could produce a given 2D image Objects may appear to have different surface color and texture under different types of light Two different people photographed with the same expression, pose and illumination will look much more similar than the same person in two shots where those parameters vary a lot..

Figure 9 11. LEGO Power Functions actuator To work the LEGO actuator, you simply attach your LEGO NXT motor to the rear of the actuator and rotate the motor in a forward motion to extend the actuator, as shown in Figure 9 12. To make the actuator contract, you just rotate the motor backward. This is a great new element from LEGO, and I believe you will see it become more and more popular in LEGO robotics as teams discover its existence.

Objects change apparent shape as they rotate, may be occluded by other objects and their texture changes due to shadow positions and viewing angle. To make things worse, some objects are deformable, such as faces. Despite these challenges, today s Computer Vision is already capable of incredible feats, and will become ever more present in devices and robots. Phone-based barcode scanners and gaming consoles using cameras as a controller are a thing of the past. Enter today. Have you ever seen the movie Minority Report Those scary iris scanners are a reality. There are systems being built that can quickly and automatically find a person s eyes and reliably scan their irises from 30 feet away as they walk by. The mobile front has advanced rapidly as well; imagine pointing your phone at the Mona Lisa. Looking through your phone screen, her face has a 3D relief, as if she was popping out of the canvas. She is fully animated and telling you about how she was painted in a soft, lip-synched voice. This is all being done in real-time, even as you move the phone around the painting. I ve seen technology capable of this on a real phone long ago.

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