Recently, Mifeng Technology, together with Northwestern Polytechnical University and Xi'an Jiaotong University, proposed the first-perspective motion reconstruction framework “MegoVista”, which can more accurately transform first-perspective video into 4D data required for pre-training models. Related papers have been published. Currently, although Ego video allows data collection to enter real life and work scenarios, “taking a picture of the operation” is not equal to “obtaining 4D data.” The system needs to accurately identify the wearer's hands, restore the bent posture of the fingers, and measure the distance the hand moves in space. It still faces multiple challenges such as difficulty in balancing scene coverage and reconstruction accuracy, deviation in distance estimation from a single camera, and interruptions in tracking due to blocking of multi-person interactions.

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