This volume presents research from the 1993 Computer Architectures for Machine Perception Workshop. The proceedings gather papers from diverse fields including computer architecture, pattern recognition, image processing and analysis, computer vision, and VLSI. It explores the intersection of these disciplines to advance machine perception capabilities. The collection aims to foster interdisciplinary understanding and collaboration in the development of systems that can perceive and interpret their environment.

The proceedings of the 1993 Computer Architectures for Machine Perception Workshop reflect the state of research at that time, bringing together contributions from multiple specialized communities. The collection's strength lies in its interdisciplinary nature, showcasing the diverse approaches to machine perception. The papers likely offer foundational insights into the architectural requirements for systems performing tasks such as pattern recognition and image analysis. This volume serves as a historical record of the challenges and advancements discussed by researchers in the early 1990s.