Description Learning to recognize; is this merely a human trait? Reflect on your readings in weeks seven and eight. After watching the videos for this week as listed (including the video in the link below) in the syllabus, discuss what it means that our perceptual system has been shaped by the properties of the environment and provide two examples to support your point. Also, discuss the strengths and limitations of human facial recognition and list some of the problems that make facial recognition and object recognition difficult for computers, but not for humans. https://www.youtube.com/watch?v=Cgxsv1riJhI Classmate #1: Learning to recognize used to be only a human trait, however, the video this week showed that computer programs can now recognize people, objects, animals, and more within milliseconds. This is the same technology that has allowed auto drive in cars. This is absolutely incredible to think about. I can’t even begin to understand the technology behind this. Humans aim to recognize patterns and make sense of their surroundings. This is why we can often see a face in an image that is not a face or see shapes or lines in objects that are not actually there in order to make a shape or pattern. For example, have you ever thought your car that was in park was moving just because the car beside you started to move? Another example is thinking that you recognize or know someone because the patterns of their demeanor and their physical appearance is similar to someone you know. The strengths of human facial recognition are endless. Without it it would be difficult to form relationships and attachments, effectively do a lot of jobs, and more. Limitations are that there is always human error. Our brains can misinterpret people and situations which can lead to mistakes. This often happens within relationships where one person reads their partners facial expressions incorrectly. This can lead to a multitude of problems such as confrontations, hurt feelings, and more. There is a neurological disorder called prosopagnosia that results in the inability to recognize faces. I can’t imagine being unable to recognize my own daughter in a crowded place. Recognizing faces may have been a difficult feat in the past, but from what I read computers are surpassing humans. Computers are now able to recognize faces faster and from farther distances than humans. This is fascinating and scary at the same time. Kristy Classmate #2: Hello Class, Time has flew by, its feels like class started last week. Reflecting on the topic this week of how has our perceptual system been shaped by our environment. As we move through the would around us we are surrounded with constant stimulus and for our brains to process it all in real time it has to cut some corners to give us an accurate perception of what is happening around us. What I mean by this is our brain will us prior experiences to fill in association to aid us in coming to conclusion about the world around us. Like, if you are walking down the street and you catch the scent of clean clothes, you don’t have to see the dryer running to know that somebody is cleaning clothes. From past experiences you remember what the smell of a particular soap detergent is and instantly associated with the cleaning of clothes. This also happens when you see things, lets say you are out in your back yard mowing the lawn and something catches your eye. While you may have not gotten a good look at it before you directed you eyes at it you automatically assumed it was a snake by its position and movement. Your brain used past experiences and knowledge to fill in the gaps to make an assumption be for you had clear line of sight. This will also explain time when you think you see or here something and it turns out not to be what you thought. when looking at the strength and limitations of facial recognition, the biggest strength I believe human facial recognition will bring is it will aid in identifying people of interest through video or pictures. This can also be a big limitation because of the quality of the picture or video the captures the individual. For this technology to be more beneficial would have to develop some kind of program that will be able to clear us grainy video or pictures to assist the with the facial recognition programming. Well, hope everyone has a good week and let’s finish up strong. – Shine Classmate #3: Classmates and Professor, In this week’s lesson and videos, we learn about the Gestalt Principles of perceptual organization. Humans will tend to group objects together in the perceptual process to overcome certain complexities, this process is known as perceptual organization. Gestalt psychology proposes that the whole is greater than the sum of its parts. In general, Gestalt helps us understand why we tend to organize and perceive information in certain ways. The principles of Gestalt and perceptional organization are: The Principle of Good Continuation (continuity) – This states that our vision will adhere to the direction of flow or linear flow of a line. Principle of Pragnanz (Simplicity) – states we perceive objects in their simplest forms. Principle of Closure – States we will fill in the blanks by combining parts to create a whole. Principle of Symmetry – this principle is based on our need to understand information. Stating that we function better in an organization rather than chaos. Principle of Similarity – this is how we have the tendency to group similar things together. Principle of Proximity – This is the grouping of objects or things that are close together and separating groups based on spacing in-between. Principles of Common Fate – this suggests items moving in the same direction are grouped together. Principles of Common Region – this is grouping elements together that are in the same region of space, with some distinct form of separation. Principle of Uniform Connectedness – Objects connected, will be perceived as belonging together. The principles listed above are instrumental in how our perceptual system is shaped by certain properties of our environment. In the lesson this week, we learn about how we can see an object in the water at a distance and know it is a boat without seeing the part that is under the water or by certain details of the boat. What we do see is the object, the shape of the object, and where the object is in space to determine what the object is. We are using the principles of closure, similarity, common region, and connectedness to know that is a boat. Another example of this would be seeing a group of people walking with hockey bags in the same direction. We see a group of people walking with hockey bags in the same direction, we would assume they are all on the same team, play hockey, and they know each other. This is an example of the principle of common fate, uniform connectedness, similarity, and proximity. Facial and object recognition in humans is essential for our everyday life and how we perceive the world around us. In recent years, technology has become more advanced to where computers can start to do the same. The benefits of facial and object recognition for computers are that this is influential in being able to detect things quicker in a crowd, improve security measures, and for future technology such as medical as stated in the video or for self-driving cars. The disadvantage is the camera angle, humans do not have this limitation because we can perceive and understand objects from different angles and know what it is. Like seeing a face from the side, we use the principles learned in this week’s lesson to complete the profile and recognize who that person is. Computers are not able to complete images like this. -Franklin
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