AI-POWERED DEPTH ESTIMATION USING DEEP LEARNING
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AI-POWERED DEPTH ESTIMATION USING DEEP LEARNING
Authors:
1 Janakiraman S , 2 Karthick M
1Assistant Professor, II MCA
1,2Department of Master of Computer Applications,
1,2Er.Perumal Manimekalai College of Engineering, Hosur,
1janikavi73@gmail.com, 2karthicimkarthick@gmail.com
Abstract: Depth estimation is a crucial component in many computer vision domains, such as autonomous navigation, robotics, and augmented reality. This project investigates the use of deep learning to enhance depth prediction capabilities, aiming to deliver accurate and real-time 3D scene understanding. Utilizing advanced neural architectures like convolutional neural networks (CNNs), we introduce a novel approach for deriving depth information from either single-view or multi-view imagery. The proposed model effectively captures spatial context and depth indicators from extensive training datasets, leading to improved precision and resilience in complex environments. Through AI-driven adaptive learning, the system can generalize across varied scenes and challenging conditions. The results of this work are expected to drive advancements in immersive technologies, autonomous decision-making, and situational awareness in dynamic settings.
Keywords: Enhanced Reality Visualization, Intelligent Learning Adaptation, Context-Aware Scene Interpretation, Artificial Intelligence-Based Frameworks, Evolving Real-World Settings
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