Every moment in our life, we interact with 3D objects - either the mug that is currently sitting in front of you, or the cellphone that you are holding in your hand. Being able to perceive the 3D structures of these objects is something that we all take for granted. Imagine, you are reaching out your arm and trying to grab that mug just to have a sip of the delicious coffee you just made. As you are closing in on that mug with your fingers, you realized that that mug is actually much bigger than you thought it was, and you inevitably knocked the mug over. Now, coffee is all over your desk, and your day is ruined.
This project examines how human observers can accurately perceive 3D structures so that the aforementioned scenario does not happen, despite an overwhelming amount of empirical evidence that suggests otherwise.
Also, check out this cool demo:
Reaches-to-grasping is an important and ubiquitous human motor behavior. In fact, this behavior is so unique that not a lot of other species are able to do so. As the 3D slant and object perception project explores how humans perceive the 3D objects around them, this project examines the dynamics behind the motor control that necessarily enables humans to interact with those 3D objects. Specifically, this project examines how restricting people's grasping aperture (i.e. limiting how wide the actor's thumb and index finger can open) would affect the way they perform such actions.
As you are ready to charge through another Zoom meeting session, have you ever wondered where your coworker is, relative to you? Sure, your coworker is displayed on the screen, but where is your coworker's location in the space you occupy?
Maybe the question above is too convoluted. Then consider this: have you ever wondered why the famous Mona Lisa's eyes always follow the spectator in Louvre? Or why the Uncle Sam is always pointing at you and asking you to do something? Where is Mona Lisa or Uncle Sam anyways? Are they simply hiding behind the canvas? How far behind the canvas?
This project aims to answer these questions using the power of virtual reality, as we dive into the interconnectedness between the space that you always occupy (the physical space, your immediate surrounding) and the space that is depicted on a flat surface, either a piece of painting or your computer screen.
Why is he always following me?
Have you ever wondered why you can recognize someone just based on how that person moves, such as walking or jumping? If you like sports, you may be able to recognize a particular athlete solely based on the way s/he moves. For basketball fans check out this guy's video where he imitates Lebron James, the similarity is truly uncanny.
In this project, I tried to combine the power of machine learning with empirical methods to understand how a person's identity is embedded in the way that person moves, finding the dynamic identity signature of a person.
Also, can you tell which actor who is doing jumping jacks is the actor who is moving sideways?