Computation of component image velocity from local phase information
International Journal of Computer Vision
International Journal of Computer Vision - Special issue: VLSI for computer vision
What does the retina know about natural scenes?
Neural Computation
Performance of optical flow techniques
International Journal of Computer Vision
Recursive implementation of the Gaussian filter
Signal Processing
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computation and analysis of image motion: a synopsis of current problems and methods
International Journal of Computer Vision
Spatiotemporal energy-based method for velocity estimation
Signal Processing
Texture Segmentation using 2-D Gabor Elementary Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Analog VLSI Sensors for 2-D Direction of Motion
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
Gabor wavelet representation for 3-D object recognition
IEEE Transactions on Image Processing
Image registration using adaptive polar transform
IEEE Transactions on Image Processing
| Hi-index | 0.00 |
Motion estimation in image sequences is a fundamental issue in many applications as for instance in artificial vision and three-dimensional scene reconstruction. Among all the existing techniques, we are particularly interested in methods using Gabor filters, which are known to furnish quality results but usually require intensive calculation. A new, fast energy-based method is presented, which combines in a direct manner the energetic responses of Gabor spatio-temporal filters organized in triads. An implementation of this technique on a general purpose Digital Signal Processor (DSP) board is described and the advantages compared with Very Large Scale Integration (VLSI) and parallel machine approaches. Our hardware implementation attains a reasonably fast output rate (several images/second) for a better resolution than in the most recent VLSI implementations. These results open interesting perspectives for real-time implementations (such as in mobile robotics) and for the obtention of higher-level results by combining different Gabor filter techniques (for motion, edge detection, texture analysis, etc.).