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There is not an iota of doubt in the fact that James Cameron movies always leave the audience in awe. As a storyteller, he knows what makes a story feel real and advanced technologies play a significant part in his arsenal. Creating a planet that man has not seen before all while keeping it relatable takes a genius. Time and again he emphasized the role AI can play in improvising movie making. He leveraged AI heavily to create the real-looking Pandora planet, led by Weta special effects – a culmination of complex artificial intelligence and machine learning algorithms. Here are the top 5 technologies he used to create this cinematic masterpiece.
Algorithms, of late, have gained the capacity to understand the flow of story and adapt to different ways of storytelling. No wonder, a VFX heavy movie like Avatar had indulged in AI to analyse the story line.
Additional story plots always have a chance until the movie is finally released. An improvement in dialogue or facial expression is perceived as necessary during the editing part of the movie. Earlier it was achieved by creating a wide shot or headshot that carries the risk of mismatched lipsync. To overcome this, Cameron developed a whole new way of inserting a new dialogue or facial scan on top of an already performed scene.
The viewer really feels immersed under the water. It is highly necessary assess different possibilities of human perception and the way they connect to it. The production team and actors used VR headsets to walk around the imaginary Pandora and interact with it in real-time.
The realistic world of Pandora's planet depicted in the movie is a product of Augmented reality (AR). AR essentially superimposes elements of the real world creating a sense of interactivity and immersion. The alien creatures with complex anatomy are too prominent to ignore the role AR has in making this film.
Also known as Performance Capture, this technology allows to capture of motions of objects or persons and transfers it to animated objects in a virtual environment. Usually, this process requires heavy equipment which a machine-learning algorithm can easily replace. It can improve the pace, predictability, and analytics impacting how the story unveils.
