Vision Based Human Pose Estimation for Virtual Cloth Fitting
Sourav Saha, Pritha Ganguly, Subhajit Chaudhury · 2014
This paper proposes a real-time solution to setting up a virtual trial-room for on-line portals selling apparels using a generic web camera interface to the portal. The user selects an image of an apparel from the on-line display and captures his/her own videos. The proposed method detects the pose of the user as well as various anthropomorphic features such as length and thickness of upper limbs and the dimensions of the torso. We use a background subtraction based methodology to segment out the human body from the image. The segmented human body contour is represented by a 1D curve by computing the distance of a point on the contour from the body centroid. Various extremities of body parts are found out by measuring the curvature. Using the detected feature points, we use a cloth fitting algorithm to fit the garment to the users body. The entire process is performed at 30fps, providing a realistic rendering of virtual clothing for any user