Visual Analytics

Computer Vision: From Geometries to Meaning Computer vision has moved from counting pixels to understanding what a scene means. Early work relied on geometry—camera models, calibration, and the relations between views. Algorithms used feature matching and 3D reconstruction to estimate space. They could locate objects, but they did not always explain why those objects mattered to people. The shift from geometry to meaning comes from data, better learning models, and a goal to build systems that interpret rather than only measure images. ...

Visual Analytics and Interactive Dashboards Visual analytics blends data, visuals, and human judgment. An interactive dashboard is a compact screen that shows key metrics and lets users explore data with filters and drills. Together, they help teams see trends, compare performance, and uncover insights quickly. Think of a dashboard as a cockpit. It should answer daily questions at a glance, then invite deeper exploration when needed. A well designed view keeps the user focused on what matters and avoids unnecessary noise. ...