Object detection and recognition ... factors of the DSP MAC operations. Deep learning algorithms for object recognition are raising the computational bar once more, and that requires a new class of ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

We will go over the major categories of tasks of Computer Vision and we will give examples of applications from each category. With the adoption of Machine Learning and Deep Learning techniques, we ...

Matrox Imaging offers Design Assistant and MIL libraries to help enable rapid development with flowchart-based programming ...

Using the classic computer vision perspective, you will explore several computer vision tasks and suggested approaches. You will also review deep learning methods and apply them to some of the same ...

Unlocking the hidden: groundbreaking techniques in camouflaged object detection ... vision is something we rarely question, ...