Where no learned model is required or hardware is low, alt-learning methods can also do tracking; trained Haars example:
https://huningxin.github.io/opencv.js/samples/face-detection/index-wasm.html On 01.05.2019 08:48, [email protected] wrote:
I'm currently a master's student currently. While searching for a topic to research in for my master's thesis, I read a little bit about 3D Deep Learning, and Geometric Deep Learning. I'm unclear about the difference between the two. Also, about which one of them is used for tracking in Virtual/Augmented/Extended Reality use cases(if at all they're used). I've been unable to find a clear explanation on these. Kindly advise. Regards *Artificial General Intelligence List <https://agi.topicbox.com/latest>* / AGI / see discussions <https://agi.topicbox.com/groups/agi> + participants <https://agi.topicbox.com/groups/agi/members> + delivery options <https://agi.topicbox.com/groups/agi/subscription> Permalink <https://agi.topicbox.com/groups/agi/Tfab6057c895a7178-M6b45dc9d82337a6a2bb6da9f>
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