Computer vision has been shaped by contributions from many pioneers, but Larry Roberts is often regarded as one of the earliest visionaries. In the 1960s, Roberts wrote a foundational paper on the use of machine analysis for visual data, laying the groundwork for 3D object recognition. Other notable contributors include David Marr, who developed theories on visual perception, and Takeo Kanade, who advanced stereo vision and real-time tracking. These pioneers set the stage for modern computer vision research and applications.
Who is the pioneer of computer vision?

- Large Language Models (LLMs) 101
- Vector Database 101: Everything You Need to Know
- How to Pick the Right Vector Database for Your Use Case
- AI & Machine Learning
- Natural Language Processing (NLP) Advanced Guide
- All learn series →
Recommended AI Learn Series
VectorDB for GenAI Apps
Zilliz Cloud is a managed vector database perfect for building GenAI applications.
Try Zilliz Cloud for FreeKeep Reading
How do auto-augment policies work?
Auto-augment policies are techniques used in machine learning to enhance datasets through automated augmentation methods
What hardware is required for federated learning on edge devices?
Federated learning on edge devices requires a blend of specific hardware components to ensure effective model training a
What is the difference between tabular and function approximation methods in reinforcement learning?
The main difference between tabular and function approximation methods in reinforcement learning lies in how they repres