Camera Trajectory Generation: A Comprehensive Survey of Methods, Metrics, and Future Directions

TL;DR

This comprehensive survey reviews camera trajectory generation methods, metrics, and future challenges, providing a foundational resource for researchers to develop adaptive and innovative camera movement systems across various fields.

Contribution

It offers the first systematic and unified review of camera trajectory generation, covering methodologies, evaluation metrics, datasets, and future research directions.

Findings

Analyzes various camera representation approaches.

Reviews existing models from rule-based to machine learning.

Identifies gaps and opportunities for future research.

Abstract

Camera trajectory generation is a cornerstone in computer graphics, robotics, virtual reality, and cinematography, enabling seamless and adaptive camera movements that enhance visual storytelling and immersive experiences. Despite its growing prominence, the field lacks a systematic and unified survey that consolidates essential knowledge and advancements in this domain. This paper addresses this gap by providing the first comprehensive review of the field, covering from foundational definitions to advanced methodologies. We introduce the different approaches to camera representation and present an in-depth review of available camera trajectory generation models, starting with rule-based approaches and progressing through optimization-based techniques, machine learning advancements, and hybrid methods that integrate multiple strategies. Additionally, we gather and analyze the metrics and datasets commonly used for evaluating camera trajectory systems, offering insights into how these tools measure performance, aesthetic quality, and practical applicability. Finally, we highlight existing limitations, critical gaps in current research, and promising opportunities for investment and innovation in the field. This paper not only serves as a foundational resource for researchers entering the field but also paves the way for advancing adaptive, efficient, and creative camera trajectory systems across diverse applications.