Imagine you're playing with a bunch of Legos to build a house. To make things interesting, you decide to build the house one brick at a time, taking a picture after adding each new brick. At the end, you have a bunch of pictures that show how you built the house, one brick at a time.
Now imagine you want to turn those pictures into a 3D model of the house. You could stack the pictures on top of each other to make a kind of 3D image, but that wouldn't be very detailed. Instead, you could use the pictures to figure out the exact shape and location of each brick, and then use that information to create a more precise 3D model of the house.
In the same way, 4D reconstruction takes a bunch of pictures or videos of an object or scene, and uses them to create a detailed 3D model that also shows how the object or scene changes over time. This can be useful for things like medical imaging (to study how organs move), robotics (to help robots navigate through environments), or even entertainment (to create lifelike special effects in movies).
By analyzing multiple images or videos over time, 4D reconstruction can capture a more accurate and detailed representation of the object or scene, which can be helpful for a variety of different purposes.