Image Processing and Computer Vision Research Laboratory (IPCV-LAB)
Welcome to the Image Processing and Computer Vision Research Laboratory (IPCV-LAB). Here, we conduct cutting-edge research in multidimensional signal processing. Specifically, our basic research involves developing new and powerful algorithms for processing video and/or depth signals. These algorithms can estimate the shape, color, motion, position, orientation of real objects from the signals. They can also count and recognise objects, and in the case of people, estimate their facial expressions and gestures. The IPCV-LAB places special emphasis on applying the technology developed in autonomous robotics, particularly in the context of autonomous space exploration. Over the last decade, we have conducted research on a NIR ToF odometry algorithm that can determine the motion, position, and orientation in three dimensions of an exploration robot based on the processing of two multidimensional signals: a near-infrared video signal and a time-of-flight depth signal. These signals are provided by a NIR ToF camera rigidly attached to the side of a robot and facing the ground. Odometry algorithms are crucial for exploration robots operating in areas without GPS, such as the Moon or Mars, as they provide continuous information about motion, position and orientation. This data enables the robots to detect any deviation from pre-programmed or self-planned trajectories towards scientific objectives.
Poster about the IPCV-LAB (in spanish)
Video about the IPCV-LAB's main project (in spanish)
Video about how the IPCV-LAB contributes to the UCR (in spanish)