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?
- Exploring Vector Database Use Cases
- Optimizing Your RAG Applications: Strategies and Methods
- Mastering Audio AI
- Evaluating Your RAG Applications: Methods and Metrics
- Retrieval Augmented Generation (RAG) 101
- 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 embeddings handle drift in data distributions?
Embeddings are a powerful tool for representing data in a lower-dimensional space, which helps capture underlying struct
How do robots handle real-time sensor data processing?
Robots handle real-time sensor data processing by using a systematic approach that involves collecting data from various
How does quantum parallelism enable the speedup of specific algorithms?
Quantum parallelism is a fundamental aspect of quantum computing that allows quantum algorithms to perform many calculat