Rapid surface registration of 3D volumes using a neural network approach
Image and Vision Computing
C is for circuits: capturing FPGA circuits as sequential code for portability
Proceedings of the 16th international ACM/SIGDA symposium on Field programmable gate arrays
Efficient feature correspondence for image registration
SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
Image matching using distance transform
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Accelerating the distance transform
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
| Hi-index | 0.00 |
This paper presents a high-performance FPGA solution to generic shape-based object detection in images. The underlying detection method involves representing the target object by binary templates containing positional and directional edge information. A particular scene image is preprocessed by edge segmentation, edge cleaning and distance transforms. Matching involves correlating the templates with the distance-transformed scene image and determining the locations where the mismatch is below a certain user-defined threshold. Although successful in the past, a significant drawback of these matching methods has been their large computational cost when implemented on a sequential general-purpose processor.In this paper, we present a step by step implementation of the components of such object detection systems, taking advantage of the data and logical parallelism opportunities offered by an FPGA architecture. The realization of a pipelined calculation of the preprocessing and correlation on FPGA is presented in detail.