The parallax effect in computer vision refers to the apparent shift of an object’s position relative to its background when observed from different viewpoints. This phenomenon is commonly used to estimate depth or distance in 3D vision systems. By capturing images of a scene from two or more viewpoints (e.g., stereo cameras), the disparity between corresponding points in the images can be calculated. This disparity is inversely proportional to the object’s distance from the camera. The parallax effect is widely applied in technologies such as stereo vision, augmented reality, and SLAM (Simultaneous Localization and Mapping). It enables systems to reconstruct 3D environments, perform object tracking, and enhance spatial awareness in applications like autonomous vehicles and robotics.
What is the parallax effect in the computer vision?
- Vector Database 101: Everything You Need to Know
- Exploring Vector Database Use Cases
- The Definitive Guide to Building RAG Apps with LlamaIndex
- Information Retrieval 101
- Getting Started with Zilliz Cloud
- 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
What are the societal benefits of federated learning?
Federated learning offers several societal benefits primarily through its ability to enhance privacy, improve data effic
How does Haystack support distributed search systems?
Haystack is designed to facilitate the implementation of distributed search systems by allowing developers to connect va
How does network latency play a role when the vector store or the LLM is a remote service (for instance, calling a cloud API), and how can we mitigate this in evaluation or production?
Network latency significantly impacts applications that rely on remote vector stores or LLM APIs, as every request-respo