Three dimensional object recognition in real time by multiplex spatial filtering

<title>Review Of Coherent Optical Correlation Techniques</title>

“…Major attention in optical signal processing has been devoted to active [18] and passive [21] ambiguity function signal processors using multi-channel optical systems [21,22,57], space-variant optical systems [19,46], and triple [23] and quadruple [58] product convolvers. A wealth of multiple MSF system work [54,[59][60][61] also exists and is of equal concern in all optical correlator applications. Use of linear combinations of the system's response to various inputs is another optical pattern recognition discrimination method of use in optical pattern recognition and optical correlator applications [62].…”

Three-dimensional target recognition using the phase information from a Fourier transform profilometer

“…To the best of our knowledge and belief, the first work on 3D object recognition utilizing optical concepts was reported by Venot et al in 1971. 3 They pointed out that recording a multiplexed or composite matched filter of different angular views of the 3D objects via holography might help to solve the problem of 3D object recognition by twodimensional (2D) matched filtering.…”

“…To the best of our knowledge and belief, the first work on 3D object recognition utilizing optical concepts was reported by Venot et al in 1971. 3 They pointed out that recording a multiplexed or composite matched filter of different angular views of the 3D objects via holography might help to solve the problem of 3D object recognition by twodimensional (2D) matched filtering. 3 Much later, Balmer and Hofer-Alfeis proposed a coherent optical filtering technique where 2D longitudinal slices of the observed 3D scene were correlated with those of the target 3D scene.…”

“…3 They pointed out that recording a multiplexed or composite matched filter of different angular views of the 3D objects via holography might help to solve the problem of 3D object recognition by twodimensional (2D) matched filtering. 3 Much later, Balmer and Hofer-Alfeis proposed a coherent optical filtering technique where 2D longitudinal slices of the observed 3D scene were correlated with those of the target 3D scene. 4 After that the interests of the optical research community seemed to be focused mainly on classical correlators for 2D object recognition.…”

Anamorphic Multiple Matched Filter for Character Recognition, Performance with Signals of Equal Size

“…To detect different signals in an input, multiple matched filters can be synthesized and several methods of making the filters have been developed, the signals being recorded in carriers with either lateral or angular modulation [14][15][16] . To avoid some of the difficulties presented by such techniques, we proposed in previous papers, to record coherently the multiple filter matched to characters rotated by different angles [17] and with different sizes [18] .…”