Although multi-view monitoring techniques have been widely applied in skinned model reconstruction and movement analysis,traditional systems using high-performance Personal Computers(PCs),or industrial cameras are oft...Although multi-view monitoring techniques have been widely applied in skinned model reconstruction and movement analysis,traditional systems using high-performance Personal Computers(PCs),or industrial cameras are often prohibitive due to high costs and limited scalability.Here,we introduce an affordable,scalable multi-view image acquisition system for skinned model reconstruction in animal studies,utilizing consumer Android devices and a wireless network for synchronized monitoring named Rodent Arena Multi-View Monitor(RAMM).It uses smartphones as camera nodes with local data storage,enabling cost-effective scalability.Its custom synchronization solution and portability make it ideal for research and education in rodent behavior analysis,offering a practical alternative for institutions with limited budgets.Furthermore,the portability and flexibility of this system make it an ideal tool for rodent skinned model research based on multi-view image acquisition.To evaluate the performance,we perform an oscilloscope analysis to ensure effectiveness of synchronization.A 45-camera node setup is built to highlight RAMM’s cost efficiency and ease in constructing large-scale systems.Additionally,the data quality is validated using the Instant Neural Graphics Primitives(Instant-NGP)method.Remarkable results were achieved with a 30.49 dB PSNR by utilizing only 25 images with intrinsic and extrinsic parameters,fulfilling the requirements for well-synchronized data used in 3D representation algorithms.展开更多
文摘Although multi-view monitoring techniques have been widely applied in skinned model reconstruction and movement analysis,traditional systems using high-performance Personal Computers(PCs),or industrial cameras are often prohibitive due to high costs and limited scalability.Here,we introduce an affordable,scalable multi-view image acquisition system for skinned model reconstruction in animal studies,utilizing consumer Android devices and a wireless network for synchronized monitoring named Rodent Arena Multi-View Monitor(RAMM).It uses smartphones as camera nodes with local data storage,enabling cost-effective scalability.Its custom synchronization solution and portability make it ideal for research and education in rodent behavior analysis,offering a practical alternative for institutions with limited budgets.Furthermore,the portability and flexibility of this system make it an ideal tool for rodent skinned model research based on multi-view image acquisition.To evaluate the performance,we perform an oscilloscope analysis to ensure effectiveness of synchronization.A 45-camera node setup is built to highlight RAMM’s cost efficiency and ease in constructing large-scale systems.Additionally,the data quality is validated using the Instant Neural Graphics Primitives(Instant-NGP)method.Remarkable results were achieved with a 30.49 dB PSNR by utilizing only 25 images with intrinsic and extrinsic parameters,fulfilling the requirements for well-synchronized data used in 3D representation algorithms.
