摘要:
At least one exemplary embodiment is directed to an imaging processing method where a plurality of images are picked up while an imaging direction of a camera is being changed. The images are combined into a composite image. A target region is specified within the composite image. An imaging direction and an imaging magnification for imaging an object included in the target region in a predetermined size are calculated based on a position and a size of the target region in the composite image and an imaging parameter set for the camera when the plurality of images are picked up. Accordingly, the imaging direction and the imaging magnification for imaging the object to be imaged can be set easily.
摘要:
In an image within which a face pattern is detected, when a ratio of a skin color pixel is equal to or smaller than a first threshold value in a first region and a ratio of a skin color pixel is equal to or greater than a second threshold value in a second r region, the vicinity of the first region is determined to be a face candidate position at which the face pattern can exist. Face detection is carried out on the face candidate position. The second region is arranged in a predetermined position relative to the first region.
摘要:
At least one exemplary embodiment is directed to an imaging processing method where a plurality of images are picked up while an imaging direction of a camera is being changed. The images are combined into a composite image. A target region is specified within the composite image. An imaging direction and an imaging magnification for imaging an object included in the target region in a predetermined size are calculated based on a position and a size of the target region in the composite image and an imaging parameter set for the camera when the plurality of images are picked up. Accordingly, the imaging direction and the imaging magnification for imaging the object to be imaged can be set easily.
摘要:
In a hierarchical neural network having a module structure, learning necessary for detection of a new feature class is executed by a processing module which has not finished learning yet and includes a plurality of neurons which should learn an unlearned feature class and have an undetermined receptor field structure by presenting a predetermined pattern to a data input layer. Thus, a feature class necessary for subject recognition can be learned automatically and efficiently.
摘要:
An output value of neuron within an objective layer of a hierarchical neural network is computed. The data of the output value of neuron is stored in a memory only if the output value of neuron is greater than or equal to a predetermined value by referring to the computed output value of neuron within the objective layer. When the data of the output value of neuron on a former layer of objective layer is read from the memory, the data having a predetermined value is read, instead of the data of the output value of neuron not stored in the memory.
摘要:
An estimation apparatus for estimating a position and orientation of an object, includes: a capturing unit adapted to capture an object targeted for position and orientation estimation, and generate a range image representing distance information from the capturing unit to the target object; a general estimation unit adapted to analyze the range image and estimate a general position and orientation of the target object; a plurality of identification units each adapted to estimate a detailed position and orientation of an object within a predetermined position and orientation range; a determination unit adapted to determine a priority order of the plurality of identification units, based on the general position and orientation estimated by the general estimation unit; and a detailed estimation unit adapted to estimate a detailed position and orientation of the target object, using the plurality of identification units in the priority order determined by the determination unit.
摘要:
An information processing apparatus includes an obtaining unit configured to obtain first information regarding a distribution of reflected light from a target to be measured and second information regarding geometrical-optics components of the reflected light, a calculating unit configured to calculate third information on the basis of the first information and the second information, the third information indicating an approximation of the distribution of reflected light, and an output unit configured to output information regarding wave-optics components of the reflected light on the basis of the third information.
摘要:
A plurality of kinds of feature amounts are collected from image information and voice information on a person existing in a space, valid values of the collected feature amounts are calculated, feature amounts to be used for personal recognition are determined in the collected feature amounts on the basis of the calculated valid values, and personal recognition is performed by using the determined feature amounts.
摘要:
A person area is detected from an inputted image, a category to which a person shown in the person area belongs is recognized, a correction area is extracted from the person area, and the correction area is corrected based on the recognized category. Thus, the inputted image is easily corrected in an appropriate manner according to the category of the person, that is, an object.
摘要:
An eye region is extracted from an input image. A poor pupil hue quality region is extracted from the eye region. A high brightness region is extracted from the poor pupil hue quality region. A region obtained by excluding the high brightness region from the poor pupil hue quality region is extracted as a red-eye region. The high brightness region is corrected by using a method different from that for the red-eye region.