head-pose-estimation-adas-0001¶

Use Case and High-Level Description¶

Head pose estimation network based on simple, handmade CNN architecture. Angle regression layers are convolutions + ReLU + batch norm + fully connected with one output.

Validation Dataset¶

Biwi Kinect Head Pose Database

Example¶

_images/head-pose-estimation-adas-0001.png

Specification¶

Metric	Value
Supported ranges	YAW [-90,90], PITCH [-70,70], ROLL [-70,70]
GFlops	0.105
MParams	1.911
Source framework	Caffe*

Accuracy¶

Angle	Mean ± standard deviation of absolute error
yaw	5.4 ± 4.4
pitch	5.5 ± 5.3
roll	4.6 ± 5.6

Inputs¶

Image, name: data, shape: 1, 3, 60, 60 in 1, C, H, W format, where:

C - number of channels
H - image height
W - image width

Expected color order is BGR.

Outputs¶

Each output contains one float value that represents value in Tait-Bryan angles (yaw, pitch or roll).

name: angle_y_fc, shape: 1, 1 - Estimated yaw (in degrees).
name: angle_p_fc, shape: 1, 1 - Estimated pitch (in degrees).
name: angle_r_fc, shape: 1, 1 - Estimated roll (in degrees).

Legal Information¶

[*] Other names and brands may be claimed as the property of others.

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