Polarization can provide information largely uncorrelated with the spectrum and intensity.
Therefore, polarimetric imaging (PI) techniques have significant advantages in many fields …

Image segmentation is the task of associating pixels in an image with their respective object
class labels. It has a wide range of applications in many industries including healthcare …

We aim to address the challenging task of infrared and visible image fusion. The existed
fusion methods cannot achieve the balance of clear boundaries and rich details. In this …

The polarization event camera PDAVIS is a novel bio-inspired neuromorphic vision sensor
that reports both conventional polarization frames and asynchronous, continuously per-pixel …

For vehicles to navigate autonomously, they need to perceive and understand their
immediate surroundings. Currently, cameras are the preferred sensors, due to their high …

Due to its insensitivity to light intensity and the capability to capture multidimensional
information, polarimetric imaging technology has been proven to have advantages over …

Previous investigations relied on intensity, degree of linear polarization, and angle of linear
polarization for transparent object (TO) segmentation. However, no research have examined …

Recently, advanced driver assistance systems (ADAS) have attracted wide attention in
pedestrian detection for using the multi-spectrum generated by multi-sensors. However, it is …

Detecting and recognizing different kinds of urban objects is an important problem, in
particular, in autonomous driving. In this context, we studied the potential of Mueller matrix …

Metasurface-based imaging has attracted considerable attention owing to its compactness,
multifunctionality, and subwavelength coding capability. With the integration of …