170 results about "Matched sample" patented technology

A touch-sensitive apparatus comprises a panel configured to conduct signals from a plurality of peripheral incoupling points to a plurality of peripheral outcoupling points. Actual detection lines are defined between pairs of incoupling and outcoupling points to extend across a surface portion of the panel. The signals may be in the form of light, and objects touching the surface portion may affect the light via frustrated total internal reflection (FTIR). A signal generator is coupled to the incoupling points to generate the signals, and a signal detector is coupled to the outcoupling points to generate an output signal. A data processor operates on the output signal to enable identification of touching objects. The output signal is processed (40) to generate a set of data samples, which are indicative of detected energy for at least a subset of the actual detection lines. The set of data samples is processed (42) to generate a set of matched samples, which are indicative of estimated detected energy for fictitious detection lines that have a location on the surface portion that matches a standard geometry for tomographic reconstruction. The set of matched samples is processed (44, 46) by tomographic reconstruction to generate data indicative of a distribution of an energy-related parameter within at least part of the surface portion.

A total variance may be computed for sample values in an input gesture including a plurality of sample values of sample motion data from one or more sensors associated with a control device. The motion data may be related to movement of a control device. A figure of merit may be calculated using the sample values in the gesture, the total variance for the sample values in the input gesture, and sample values in one or more catalog gestures. The figure of merit measures how well the samples in the input gesture match samples in the catalog gesture. Whether an input gesture matches one of the one or more catalog gesture may be determined based on the figure of merit. A state of the system may be changed if it is determined that the input gesture matches the one of the one or more catalog gestures.

The invention provides a two-stage pedestrian searching method combining face and appearance. The method comprises: detecting faces of pedestrians by utilizing a face detector, and outputting a face representation vector based on a face comparison model; sorting the to-be-matched pedestrian set according to the Euclidean distance to obtain a face sorting result; selecting a plurality of samples asmulti-matching targets of the next stage according to a sorting result; taking the selected next-stage multi-matching targets of different pedestrians in the same data set as negative samples of eachother, so as to compress the next-stage matching sample space; and finally, carrying out multi-target pedestrian re-identification, sorting the to-be-matched image set according to the average distance or similarity with the plurality of targets, and outputting a final result. According to the method, the face and pedestrian re-recognition are combined through the convolutional neural network based on the DenseNet to search the target pedestrian, the robustness is improved through the elaborately designed limiting conditions, the calculation amount is reduced, and the pedestrian searching performance is further improved.