Software

 

Research  

 

Software:

TSLAB is an advanced and user friendly tool for fast labeling of moving objects in video sequences. It allows to create three kind of labels for each moving object: moving region, shadow, and occluded area. Moreover, it assigns global identifiers at object level that allow to track labeled objects along the sequences. Additionally, TSLAB provides information about the moving objects that are temporally static. A very friendly graphical user interface allows to manually create labels in a very easy way. Additionally, this interface includes some semiautomatic advanced tools that significantly simplify the labeling tasks and reduce drastically the time required to perform such tasks:
 
 

 

Bag-D3P is a Matlab-based software specially designed for biometric face recognition using depth cameras as input information. The Bag-D3P descriptor is composed of four different stages that fully exploit the characteristics of depth information: 1) dense spatial derivatives to encode the 3-D local structure; 2) face-adaptive quantization of the previous derivatives; 3) multibag of words that creates a compact vector description from the quantized derivatives; and 4) spatial block division to add global spatial information. The proposed system can recognize people faces from a wide range of poses, not only frontal ones, increasing its applicability to real situations. Last, a new face database of high-resolution depth images has been created and made it public for evaluation purposes.
 

 

Bag-D3P is a Matlab-based software specially designed for biometric face recognition using depth cameras as input information. The Bag-D3P descriptor is composed of four different stages that fully exploit the characteristics of depth