영상 보간법(Interpolation)

# INTERPOLATION MODE (filename, mode, start frame, end frame, body part)
if mode == 'I':
start_frame = int( reference_frame.split("+")[0] )
end_frame = int(reference_frame.split("+")[1])
for f in range(start_frame, end_frame + 1):
interpolate(body_info[start_frame - 1][b], body_info[end_frame + 1][b], body_info[f][b],
(f - start_frame) / (end_frame - start_frame), BODY_PART[body])

 

def interpolate(begin, end, out, step, part):

# 3D location of the joint j
for j in part:
out["joints"][j]["x"] = begin["joints"][j]["x"] + (end["joints"][j]["x"] - begin["joints"][j]["x"]) * step
out["joints"][j]["y"] = begin["joints"][j]["y"] + (end["joints"][j]["y"] - begin["joints"][j]["y"]) * step
out["joints"][j]["z"] = begin["joints"][j]["z"] + (end["joints"][j]["z"] - begin["joints"][j]["z"]) * step

# 2D location of the joint j in corresponding depth frame
for j in part:
out["joints"][j]["depthX"] = begin["joints"][j]["depthX"] + (end["joints"][j]["depthX"] - begin["joints"][j]["depthX"]) * step
out["joints"][j]["depthY"] = begin["joints"][j]["depthY"] + (end["joints"][j]["depthY"] - begin["joints"][j]["depthY"]) * step