Head pose estimation network based on simple, handmade CNN architecture. Angle regression layers are convolutions + ReLU + batch norm + fully connected with one output.
|Supported ranges||YAW [-90,90], PITCH [-70,70], ROLL [-70,70]|
|Angle||Mean ± standard deviation of absolute error|
|yaw||5.4 ± 4.4|
|pitch||5.5 ± 5.3|
|roll||4.6 ± 5.6|
Output layer names in Inference Engine format:
Output layer names in Caffe* format:
Each output contains one float value that represents value in Tait-Bryan angles (yaw, pitсh or roll).
[*] Other names and brands may be claimed as the property of others.