By Siniša à egvić, Anthony Remazeilles, Albert Diosi, François Chaumette (auth.), Jacques Blanc-Talon, Wilfried Philips, Dan Popescu, Paul Scheunders (eds.)
This e-book constitutes the refereed court cases of the ninth foreign convention on complicated innovations for clever imaginative and prescient platforms, ACIVS 2007, held in Delft, The Netherlands, August 2007.
The forty five revised complete papers and fifty five revised poster papers awarded have been conscientiously reviewed and chosen from round 221 submissions. The papers are geared up in topical sections on noise aid and recovery, segmentation, movement estimation and monitoring, video processing and coding, digital camera calibration, snapshot registration and stereo matching, biometrics and defense, scientific imaging, snapshot retrieval and picture knowing, in addition to category and recognition.
Read Online or Download Advanced Concepts for Intelligent Vision Systems: 9th International Conference, ACIVS 2007, Delft, The Netherlands, August 28-31, 2007. Proceedings PDF
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Additional info for Advanced Concepts for Intelligent Vision Systems: 9th International Conference, ACIVS 2007, Delft, The Netherlands, August 28-31, 2007. Proceedings
3D inspection system for manufactured machine parts. In: Proceedings of SPIE.
The aim is to be able to select the most adequate configuration for the measurement process between the visible ones. The criterion for the selection will be established in terms of the quality of the image being observed. Such criterion depends on the behavior of the feature extraction algorithm. In this case, the algorithm extracts the peak position of the laser plane in the image. In order to measure the quality of each configuration, a metallic planar surface was oriented sequentially sweeping the range of variation of the rotation axes of the positioning system.
Despite the cluttered background, our tracker isolates well the target. This is in stark contrast with the approaches used in [9,18,16,8,12,5,13], which are based on data likelihoods using the color densities of the two classes or region homogeneity measures such as mean color and variance. Obviously, in this case, these approaches would have failed as such data likelihoods are identical for the object and background pixels. On contrary, the proposed likelihood (14) is discriminative enough as it is based on the local color structure and not on the color statistics of an image region.