Method for identifying profile interaction based on multi-Kinect collaboration depth threshold segmentation algorithm

Abstract

The invention discloses a method for identifying a profile interaction based on a multi-Kinect collaboration depth threshold segmentation algorithm. The method includes the main steps: (1) multi-Kinect collaboration: simultaneously driving a plurality of Kinect depth sensors on one control host, and correcting acquired information; (2) user identification and position based on depth threshold segmentation: acquiring depth information of a scene, processing and screening the depth information, and calculating a position of a user; (3)displaying the profile interaction through edge fusion, displaying interactions among different individuals through simulation of fluid edge fusion or separation, and drawing out a graph with the effect of fluid edge fusion by adoption of a graph drawing method based on spatial distribution features. According to the invention, somatosensory devices are combined to draw out the edge fusion graph, and behaviors of the user can be timely and vividly fed back, so that the user experience can be greatly improved; in additional, the method of the invention cannot limited by a scene space, and can be applied to various interactive experiences including interactive floors, interactive walls and the like.

Description

technical field [0001] The invention belongs to the technology in the fields of computer vision and somatosensory interaction, and specifically relates to a method for reflecting human-computer interaction through outline interaction based on multiple Kinect sensors. Background technique [0002] Somatosensory interaction technology refers to controlling the computer through the user's limbs in the air, replacing the traditional input control devices such as the mouse and keyboard in the past, making the space for human-computer interaction wider, the control more free, and the way more flexible. As an emerging field, somatosensory interaction has gradually entered the human field of vision and is becoming more and more popular. It has a very broad application prospect in the fields of games, medical care, retail, and commercial product promotion. [0003] Due to the limitations of the hardware conditions of the somatosensory sensor, most of the existing somatosensory intera...

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Problems solved by technology

[0008] From the above methods, it can be seen that the simulation of fluid contour fusion focuses on the improvement of realism and real-time performance, and does not apply fluid simulation to the field of somatosensory interaction.

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