摘要:
An image processing method is provided for an image processing apparatus which executes processing by allocating a plurality of weak discriminators to form a tree structure having branches corresponding to types of objects so as to detect objects included in image data. Each weak discriminator calculates a feature amount to be used in a calculation of an evaluation value of the image data, and discriminates whether or not the object is included in the image data by using the evaluation value. The weak discriminator allocated to a branch point in the tree structure further selects a branch destination using at least some of the feature amounts calculated by weak discriminators included in each branch destination.
摘要:
Learning is sequentially executed with respect to weak discriminators based on learning data held in a storage device. Upon learning, an evaluation value for the weak discriminator is calculated. It is discriminated, based on a shift of the evaluation value, whether or not the learning is overlearning. If it is discriminated that the learning is overlearning, new learning data is added. Thus, the overlearning is easily detected and the learning is efficiently executed.
摘要:
An image processing apparatus includes a comparison unit that selects a pixel of interest in a processing image, and compare magnitudes of luminance value of the pixel of interest and luminance value of each of a plurality of neighboring pixels having a predetermined positional relationship with the pixel of interest; a calculation unit that calculates a feature amount of the pixel of interest based on the predetermined positional relationship between the pixel of interest and each of the plurality of neighboring pixels and a comparison result obtained by the comparison unit. For two neighboring pixels at positions which are point symmetrical with respect to the pixel of interest, the comparison unit sets that only one of the two neighboring pixels has the predetermined positional relationship.
摘要:
Even when a local area is varied, degradation in recognition accuracy and detection accuracy is suppressed. To that end, a pattern processing apparatus includes a reference local area setting portion 1802 for setting a reference local area based on the detection result of a feature point by a face organ feature point detecting portion 101, a varied local area generating portion 1803 for generating a plurality of varied local area patterns by referring to an image area near the reference local area, a similarity calculating portion 106 for calculating similarities in the reference local areas and in the varied local area patterns between the input pattern and the registered pattern, a representative similarity calculating portion 107 for calculating representative similarity from among the similarities, and a classifying portion 109 for determining a class to which the input pattern belongs.
摘要:
In an information processing apparatus that processes data using cascade-connected weak classifiers, processing specification information specifying the processing content of each of the weak classifiers is stored. The weak classifiers to be used in processing the data are selected from the weak classifiers by referring to a table in which is specified information for determining the weak classifiers to be used based on a condition for processing the data. The data is then processed by the selected weak classifiers based on the processing specification information that corresponds to those weak classifiers, and an object is extracted from the data using an obtained evaluation value. Through this, a combination of extraction process speed and extraction accuracy can be changed in a flexible manner when extracting a specific object from image data.
摘要:
In an information processing apparatus that processes data using cascade-connected weak classifiers, processing specification information specifying the processing content of each of the weak classifiers is stored. The weak classifiers to be used in processing the data are selected from the weak classifiers by referring to a table in which is specified information for determining the weak classifiers to be used based on a condition for processing the data. The data is then processed by the selected weak classifiers based on the processing specification information that corresponds to those weak classifiers, and an object is extracted from the data using an obtained evaluation value. Through this, a combination of extraction process speed and extraction accuracy can be changed in a flexible manner when extracting a specific object from image data.
摘要:
A data correction apparatus which corrects data associated with an image of an object projects vector data obtained by connecting data to be corrected to each other onto a subspace to generate a dimensionally reduced projection vector, and executes dimension restoration processing in which the dimensionality of the projection vector is restored to generate dimensionally restored vector data, thereby generating a plurality of dimensionally restored vector data for each type of fluctuation. The data correction apparatus determines the fluctuation of the object based on the projection vector, integrates the plurality of dimensionally restored vector data with each other based on the determination result, and outputs the integration result as corrected data.
摘要:
A calculation processing apparatus, which executes calculation processing based on a network composed by hierarchically connecting a plurality of processing nodes, assigns a partial area of a memory to each of the plurality of processing nodes, stores a calculation result of a processing node in a storable area of the partial area assigned to that processing node, and sets, as storable areas, areas that store the calculation results whose reference by all processing nodes connected to the subsequent stage of that processing node is complete. The apparatus determines, based on the storage states of calculation results in partial areas of the memory assigned to the processing node designated to execute the calculation processing of the processing nodes, and to processing nodes connected to the previous stage of the designated processing node, whether or not to execute a calculation of the designated processing node.
摘要:
A calculation processing apparatus, which executes calculation processing based on a network composed by hierarchically connecting a plurality of processing nodes, assigns a partial area of a memory to each of the plurality of processing nodes, stores a calculation result of a processing node in a storable area of the partial area assigned to that processing node, and sets, as storable areas, areas that store the calculation results whose reference by all processing nodes connected to the subsequent stage of that processing node is complete. The apparatus determines, based on the storage states of calculation results in partial areas of the memory assigned to the processing node designated to execute the calculation processing of the processing nodes, and to processing nodes connected to the previous stage of the designated processing node, whether or not to execute a calculation of the designated processing node.
摘要:
In a convolution operation circuit, a first and a second shift registers provide data to a first and a second inputs of a plurality of multipliers, a first and a second storage units store data to be supplied to the first and the second shift registers, a plurality of cumulative adders accumulate output from the plurality of multipliers, a third storage unit latches output from the plurality of cumulative adders at predetermined timing, a fourth storage unit stores data to be stored in the first and the second storage units and data output from the third storage unit, and a control unit sets data stored in the first and the second storage units to the first and the second shift registers at predetermined timing, causes the first and the second shift registers to perform shift operations in synchronization with an operation of the cumulative adder.