|
--- |
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annotations_creators: |
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- expert-generated |
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language_creators: |
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- expert-generated |
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language: |
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- en |
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license: |
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- other |
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multilinguality: |
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- monolingual |
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pretty_name: Biwi Kinect Head Pose Database |
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size_categories: |
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- 10K<n<100K |
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source_datasets: |
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- original |
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task_categories: |
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- other |
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task_ids: [] |
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paperswithcode_id: biwi |
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tags: |
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- head-pose-estimation |
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dataset_info: |
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features: |
|
- name: sequence_number |
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dtype: string |
|
- name: subject_id |
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dtype: string |
|
- name: rgb |
|
sequence: image |
|
- name: rgb_cal |
|
struct: |
|
- name: intrisic_mat |
|
dtype: |
|
array2_d: |
|
shape: |
|
- 3 |
|
- 3 |
|
dtype: float64 |
|
- name: extrinsic_mat |
|
struct: |
|
- name: rotation |
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dtype: |
|
array2_d: |
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shape: |
|
- 3 |
|
- 3 |
|
dtype: float64 |
|
- name: translation |
|
sequence: float64 |
|
length: 3 |
|
- name: depth |
|
sequence: string |
|
- name: depth_cal |
|
struct: |
|
- name: intrisic_mat |
|
dtype: |
|
array2_d: |
|
shape: |
|
- 3 |
|
- 3 |
|
dtype: float64 |
|
- name: extrinsic_mat |
|
struct: |
|
- name: rotation |
|
dtype: |
|
array2_d: |
|
shape: |
|
- 3 |
|
- 3 |
|
dtype: float64 |
|
- name: translation |
|
sequence: float64 |
|
length: 3 |
|
- name: head_pose_gt |
|
sequence: |
|
- name: center |
|
sequence: float64 |
|
length: 3 |
|
- name: rotation |
|
dtype: |
|
array2_d: |
|
shape: |
|
- 3 |
|
- 3 |
|
dtype: float64 |
|
- name: head_template |
|
dtype: string |
|
splits: |
|
- name: train |
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num_bytes: 6914063 |
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num_examples: 24 |
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download_size: 6014398431 |
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dataset_size: 6914063 |
|
--- |
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|
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# Dataset Card for Biwi Kinect Head Pose Database |
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|
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-instances) |
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- [Data Splits](#data-instances) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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|
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## Dataset Description |
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|
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- **Homepage:** [Biwi Kinect Head Pose homepage](https://icu.ee.ethz.ch/research/datsets.html) |
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- **Repository:** [Needs More Information] |
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- **Paper:** [Biwi Kinect Head Pose paper](https://link.springer.com/article/10.1007/s11263-012-0549-0) |
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- **Leaderboard:** [Needs More Information] |
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- **Point of Contact:** [Gabriele Fanelli](mailto:gabriele.fanelli@gmail.com) |
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|
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### Dataset Summary |
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|
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The Biwi Kinect Head Pose Database is acquired with the Microsoft Kinect sensor, a structured IR light device.It contains 15K images of 20 people with 6 females and 14 males where 4 people were recorded twice. |
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|
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For each frame, there is : |
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- a depth image, |
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- a corresponding rgb image (both 640x480 pixels), |
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- annotation |
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|
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The head pose range covers about +-75 degrees yaw and +-60 degrees pitch. The ground truth is the 3D location of the head and its rotation. |
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|
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### Data Processing |
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|
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Example code for reading a compressed binary depth image file provided by the authors. |
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|
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<details> |
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<summary> View C++ Code </summary> |
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|
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```cpp |
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/* |
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* Gabriele Fanelli |
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* |
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* fanelli@vision.ee.ethz.ch |
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* |
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* BIWI, ETHZ, 2011 |
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* |
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* Part of the Biwi Kinect Head Pose Database |
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* |
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* Example code for reading a compressed binary depth image file. |
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* |
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* THE SOFTWARE IS PROVIDED “AS IS” AND THE PROVIDER GIVES NO EXPRESS OR IMPLIED WARRANTIES OF ANY KIND, |
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* INCLUDING WITHOUT LIMITATION THE WARRANTIES OF FITNESS FOR ANY PARTICULAR PURPOSE AND NON-INFRINGEMENT. |
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* IN NO EVENT SHALL THE PROVIDER BE HELD RESPONSIBLE FOR LOSS OR DAMAGE CAUSED BY THE USE OF THE SOFTWARE. |
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* |
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* |
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*/ |
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|
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#include <iostream> |
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#include <fstream> |
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#include <cstdlib> |
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|
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int16_t* loadDepthImageCompressed( const char* fname ){ |
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|
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//now read the depth image |
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FILE* pFile = fopen(fname, "rb"); |
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if(!pFile){ |
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std::cerr << "could not open file " << fname << std::endl; |
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return NULL; |
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} |
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|
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int im_width = 0; |
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int im_height = 0; |
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bool success = true; |
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|
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success &= ( fread(&im_width,sizeof(int),1,pFile) == 1 ); // read width of depthmap |
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success &= ( fread(&im_height,sizeof(int),1,pFile) == 1 ); // read height of depthmap |
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|
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int16_t* depth_img = new int16_t[im_width*im_height]; |
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int numempty; |
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int numfull; |
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int p = 0; |
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while(p < im_width*im_height ){ |
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success &= ( fread( &numempty,sizeof(int),1,pFile) == 1 ); |
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for(int i = 0; i < numempty; i++) |
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depth_img[ p + i ] = 0; |
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success &= ( fread( &numfull,sizeof(int), 1, pFile) == 1 ); |
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success &= ( fread( &depth_img[ p + numempty ], sizeof(int16_t), numfull, pFile) == (unsigned int) numfull ); |
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p += numempty+numfull; |
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|
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} |
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fclose(pFile); |
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if(success) |
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return depth_img; |
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else{ |
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delete [] depth_img; |
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return NULL; |
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} |
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} |
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|
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float* read_gt(const char* fname){ |
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|
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//try to read in the ground truth from a binary file |
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FILE* pFile = fopen(fname, "rb"); |
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if(!pFile){ |
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std::cerr << "could not open file " << fname << std::endl; |
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return NULL; |
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} |
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|
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float* data = new float[6]; |
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|
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bool success = true; |
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success &= ( fread( &data[0], sizeof(float), 6, pFile) == 6 ); |
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fclose(pFile); |
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|
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if(success) |
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return data; |
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else{ |
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delete [] data; |
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return NULL; |
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} |
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|
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} |
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``` |
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|
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</details> |
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|
|
|
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### Supported Tasks and Leaderboards |
|
|
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Biwi Kinect Head Pose Database supports the following tasks : |
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- Head pose estimation |
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- Pose estimation |
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- Face verification |
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|
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### Languages |
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|
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[Needs More Information] |
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|
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## Dataset Structure |
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|
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### Data Instances |
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|
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A sample from the Biwi Kinect Head Pose dataset is provided below: |
|
|
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``` |
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{ |
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'sequence_number': '12', |
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'subject_id': 'M06', |
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'rgb': [<PIL.PngImagePlugin.PngImageFile image mode=RGB size=640x480 at 0x7F53A6446C10>,.....], |
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'rgb_cal': |
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{ |
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'intrisic_mat': [[517.679, 0.0, 320.0], [0.0, 517.679, 240.5], [0.0, 0.0, 1.0]], |
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'extrinsic_mat': |
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{ |
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'rotation': [[0.999947, 0.00432361, 0.00929419], [-0.00446314, 0.999877, 0.0150443], [-0.009228, -0.015085, 0.999844]], |
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'translation': [-24.0198, 5.8896, -13.2308] |
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} |
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} |
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'depth': ['../hpdb/12/frame_00003_depth.bin', .....], |
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'depth_cal': |
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{ |
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'intrisic_mat': [[575.816, 0.0, 320.0], [0.0, 575.816, 240.0], [0.0, 0.0, 1.0]], |
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'extrinsic_mat': |
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{ |
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'rotation': [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], |
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'translation': [0.0, 0.0, 0.0] |
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} |
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} |
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'head_pose_gt': |
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{ |
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'center': [[43.4019, -30.7038, 906.864], [43.0202, -30.8683, 906.94], [43.0255, -30.5611, 906.659], .....], |
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'rotation': [[[0.980639, 0.109899, 0.162077], [-0.11023, 0.993882, -0.00697376], [-0.161851, -0.011027, 0.986754]], ......] |
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} |
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} |
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``` |
|
|
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### Data Fields |
|
|
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- `sequence_number` : This refers to the sequence number in the dataset. There are a total of 24 sequences. |
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- `subject_id` : This refers to the subjects in the dataset. There are a total of 20 people with 6 females and 14 males where 4 people were recorded twice. |
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- `rgb` : List of png frames containing the poses. |
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- `rgb_cal`: Contains calibration information for the color camera which includes intrinsic matrix, |
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global rotation and translation. |
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- `depth` : List of depth frames for the poses. |
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- `depth_cal`: Contains calibration information for the depth camera which includes intrinsic matrix, global rotation and translation. |
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- `head_pose_gt` : Contains ground truth information, i.e., the location of the center of the head in 3D and the head rotation, encoded as a 3x3 rotation matrix. |
|
|
|
|
|
### Data Splits |
|
|
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All the data is contained in the training set. |
|
|
|
## Dataset Creation |
|
|
|
### Curation Rationale |
|
|
|
[More Information Needed] |
|
|
|
### Source Data |
|
|
|
#### Initial Data Collection and Normalization |
|
|
|
The Biwi Kinect Head Pose Database is acquired with the Microsoft Kinect sensor, a structured IR light device. |
|
#### Who are the source language producers? |
|
|
|
[More Information Needed] |
|
|
|
### Annotations |
|
|
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#### Annotation process |
|
|
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From Dataset's README : |
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> The database contains 24 sequences acquired with a Kinect sensor. 20 people (some were recorded twice - 6 women and 14 men) were recorded while turning their heads, sitting in front of the sensor, at roughly one meter of distance. |
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|
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#### Who are the annotators? |
|
|
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[More Information Needed] |
|
|
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### Personal and Sensitive Information |
|
|
|
[More Information Needed] |
|
|
|
## Considerations for Using the Data |
|
|
|
### Social Impact of Dataset |
|
|
|
[More Information Needed] |
|
|
|
### Discussion of Biases |
|
|
|
[More Information Needed] |
|
|
|
### Other Known Limitations |
|
|
|
[More Information Needed] |
|
|
|
## Additional Information |
|
|
|
### Dataset Curators |
|
|
|
[Needs More Information] |
|
|
|
### Licensing Information |
|
|
|
From Dataset's README : |
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> This database is made available for non-commercial use such as university research and education. |
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|
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### Citation Information |
|
|
|
```bibtex |
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@article{fanelli_IJCV, |
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author = {Fanelli, Gabriele and Dantone, Matthias and Gall, Juergen and Fossati, Andrea and Van Gool, Luc}, |
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title = {Random Forests for Real Time 3D Face Analysis}, |
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journal = {Int. J. Comput. Vision}, |
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year = {2013}, |
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month = {February}, |
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volume = {101}, |
|
number = {3}, |
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pages = {437--458} |
|
} |
|
``` |
|
|
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### Contributions |
|
|
|
Thanks to [@dnaveenr](https://github.com/dnaveenr) for adding this dataset. |