Abstract:
An output signal compensation device of a magnetic encoder of the present invention includes: a pre-compensator which obtains two phase-corrected waveforms in order to have a same phase through a trigonometric function calculation of waveforms separately normalizing a magnetic encoder (ME) output sine wave outputted from an ME and digital converted sine and cosine waves converted from an ME output cosine wave, and generates an input sine wave and an input cosine wave which have a same phase and a same amplitude by adjusting the phase-corrected waveforms to have the same amplitude; a phase detector which generates an error output signal in order to have information of a phase error between a phase of the input sine and cosine waves and a predicted phase of compensated sine and cosine waves; a loop filter which filters the error output signal using an active lead-lag filter which has a filter transfer function which is set by an attenuation factor and a unique frequency determined adaptively; a voltage control oscillator which generates a compensation sine wave and a compensation cosine wave which have a predicted phase based on the filtered error output signal; and a pulse generator which generates two output pulses in order to have a predetermined pulse level corresponding to a current phase index among multiple phase indexes segmented from a phase within a cycle of the compensation sine and cosine waves and have a phase difference of a 90 degree.
Abstract:
According to the present invention, an apparatus for detecting body skeleton and body parts information from an image comprises: an Euclidean distance transform image input unit for receiving an Euclidean distance transformed image by applying the Euclidean distance transformation to a body image inputted from a user image input device; a body detection unit for detecting the body skeleton and body parts information by applying a local maxima calculation to the Euclidean distance transformed image; and a body parts information output unit for outputting the detected body skeleton and body parts information. [Reference numerals] (200) Euclidean distance transform image input imot; (231) Skeleton detection uni; (232) Head detection unit; (234) Body detection unit; (236) Shoulder/hip detection unit; (238) Arms/legs detection unit; (260) Body parts information output unit; (290) Euclidean distance transformation image output unit
Abstract:
PURPOSE: A real time face recognition apparatus is provided to automatically obtain an image coordinate of a face for an image inputted to a camera and to output a recognition result of a face in real time. CONSTITUTION: A face detector (110) obtains an image coordinate of a face from an inputted image and detects a face image. An eye detector (120) obtains a binocular image coordinate from the detected face image. A face feature extractor (130) generates feature histogram data through the parallel processing of the detected face image. A histogram matching unit (150) compares the generated feature histogram data with a comparison feature histogram in a database unit (140) and outputs the similarity of the face image. [Reference numerals] (100) Real-time face recognition device; (110) Face detector; (120) Eye detector; (130) Face feature extractor; (131) Face normalizing unit; (132) Convolution filtering operation unit; (133) MLBP operation unit; (134) Histogram generating unit; (140) Database unit; (150) Histogram matching unit; (160) Recognition result output unit