IA Não é Só Chat: o Mundo de Computer Vision, 3D e IA Multimodal
Quando alguém fala em Computer Vision, a primeira coisa que costuma vir à cabeça é detecção de objetos. É uma parte importante, mas está longe de ser tudo. Na prática, Computer Vision reúne problemas bem diferentes: entender imagens, acompanhar objetos em vídeo, estimar profundidade, descobrir a posição de uma câmera, reconstruir ambientes em 3D, trabalhar com LiDAR, interpretar documentos e,…
Computer Vision, more than just object detection, encompasses a wide array of problems related to understanding images, tracking objects in videos, estimating depth, locating camera positions, reconstructing 3D environments, working with LiDAR, interpreting documents, and recently, connecting vision with language models. A comprehensive system may include components such as a camera, LiDAR, inertial measurement unit (IMU), preprocessing steps, detection and segmentation, tracking and pose estimation, depth and geometry estimation, simultaneous localization and mapping (SLAM), point cloud processing, mesh reconstruction, and 3D object detection, among others.
The article aims to provide a practical overview of this complex ecosystem for software developers interested in understanding how the various components fit together.
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