An eye location method and device includes: receiving a face image; locating a position of a nose and positions of eyes in the face image; determining a facial symmetry axis according to the position of the nose; and regulating the positions of the eyes by the facial symmetry axis to obtain target positions of the eyes. By the method and the device, the problem of poorer eye location accuracy in the conventional art is solved, and the effect of improving eye location accuracy is further achieved.

Methods and systems for detecting an object part location based on an extended date-driven detection. A specific relevance value between configurations of parts with respect to a set of training images annotated with annotating objects can be defined. A similarity learning algorithm can be applied with respect to the parts to obtain a similarity function based on the similarity between the part configurations. The similarity learning algorithm receives a set of positive pair having similar part configuration and a negative pair having different configuration and returns the similarity function that tends to assign a high score to new positive pairs and a low score to negative pairs. A similarity between a new image and the training images can be measured utilizing the learned similarity function to obtain a neighbor image and a visible and/or non-visible part location with respect to the image can be predicted based on the neighbor image.

The system and method of the invention utilizes computer software to determine an estimation of the age of an animal by measuring, analyzing, comparing, calculating, and presenting age features and the age of animals such as deer, moose, elk, bovids, pronghorns and the like from digital data and/or photographs of the animals.

A cell evaluation method includes: a labeling step of labeling at least some of cells constituting a cell clump with a chemical substance; an image-capturing step of acquiring a plurality of slice images of the labeled cells, for at least part of the cell clump; an evaluating step of evaluating the characteristics of the cells on the basis of the plurality of slice images; a 3D-image creating step of creating a 3D image of at least part of the cell clump by subjecting the plurality of slice images to image processing; a center-of-gravity determining step of determining, from the 3D image, a center-of-gravity position of the cell clump; and an organizing step of organizing evaluation results obtained in the evaluating step, with respect to the distance from the center-of-gravity position.

A system controller serving as a controller for controlling a forming machine acquires, from a sensor which outputs image data for determining a distance in a height direction by sensing a predetermined area including a machining area of the forming machine, background image data not including an image of a workpiece and an operator of the forming machine, and current state image data representing a current state of the predetermined area during operation of the forming machine. The system controller calculates difference data indicating a difference between the background image data and the current state image data, and determines an area of the operator in the predetermined area based on the difference data. The system controller controls operation speed of the forming machine based on a result of the determination.

There is provided an encoding apparatus. An acquiring unit acquires an index value of a noise amount by analyzing at least a part of an optical black area that is included in raw data. A quantizing unit quantizes the raw data based on the index value. An encoding unit encodes the quantized raw data. If the index value is a first value, the quantizing unit quantizes the raw data with a first quantization step. If the index value is a second value corresponding to a larger noise amount than a noise amount in a case where the index value is the first value, the quantizing unit quantizes the raw data with a second quantization step that is larger than the first quantization step.

A controller controls operation of a forming machine capable of forming a workpiece. The controller includes: an object determination unit configured to determine an object other than the workpiece and the forming machine based on image data sensed by a sensor; a setting unit configured to set a plurality of determination areas based on a bolster shape of the forming machine included in the image data; a detection unit configured to detect entry of the object into each of the plurality of determination areas set by the setting unit; and a control unit configured to limit operation speed of the forming machine based on the determination area in which the entry of the object has been detected by the detection unit.

Disclosed herein is a system and a method for analyzing apparent random pathways, patterns, networks, or a series of events and characterizing these apparent random pathways, patterns, networks, or a series of events by constructal analysis. The resulting statistical values obtained can be used to compare the apparent random pathways, patterns, networks, or a series of events with other apparent random pathways, patterns, networks, or a series of events. The comparison can yield knowledge about the apparent random pathways, patterns, networks, or a series of events as well as the neighborhood or surroundings of the apparent random pathways, patterns, networks, or a series of events.

The present application discloses methods and systems to track the anterior segment while establishing a position of the delay which will permit good control of the placement of anterior segment structures. This allows accurate dewarping by maximizing the amount of corneal surface that is imaged as well as reducing or eliminating overlap between real and complex conjugate images present in frequency-domain optical coherence tomography. A method to dewarp surfaces given partial corneal surface information is also disclosed.

In various example embodiments, a system and method for image query are presented. A feature detector generates first feature description data of a first type. An image processor accesses feature codes and angle bins. The image processor generates second feature description data of a second type by comparing a plurality of groups with respective codes of the feature codes. Each of the plurality of groups comprises at least of portion of the first feature description data determined based at least on the feature codes and the angle bins. A search engine selects a first one of a plurality of stored feature description data linked to respective stored images. An interface provides an indication of the stored image linked to the first stored feature description data for display of the stored image linked to the first stored feature description data on a remote device.