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

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).

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

Legal Information

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