Anshika Sharma

Papers

Total Citations

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About

Anshika Sharma’s research centers on computer vision, with a particular focus on object recognition and image segmentation—foundational tasks that enable machines to interpret visual data. Her most-cited work, a comprehensive 2016 survey on object recognition and segmentation techniques, has garnered 25 citations and serves as a valuable resource for researchers and practitioners alike. In this survey, Sharma systematically analyzes and compares methods for identifying and delineating objects in both images and videos, highlighting their applications across robotics, medical diagnosis, security, industrial automation, and human-computer interaction. By synthesizing a rapidly evolving field, her contribution provides a clear roadmap for leveraging these techniques in real-world systems. Sharma’s work underscores the critical role of robust visual perception in advancing autonomous technologies and intelligent systems. Her survey remains a go-to reference for students and engineers seeking to understand the landscape of object recognition and segmentation, reflecting her impact on shaping foundational knowledge in computer vision.