11 results about "Footprint" patented technology

Techniques are disclosed for authenticating a person based on the person's individual makeup application techniques (MATs) for secured access purposes. As combinations of MATs are highly individualized and may even be unique between different people, the disclosed techniques leverage MAT signatures as an authentication factor. For example, various makeup application technique footprints produced by corresponding MATs which were utilized to apply makeup to a subject person may be extracted from a captured image in which the subject person is depicted. One or more combinations of the extracted footprints may be compared to a MAT signature registry to thereby authorize the identity of the subject person or otherwise deny authorization of the subject person. MAT-based authentication may be combined with other authentication factors (such as biometric identification techniques) to provide increased levels of security.

1. The name of the design product: dinosaur seal. 2. The use of the design product: for artistic creation and handicraft activities, education enlightenment and learning, games and interaction, gifts and social interaction, life skills training and special scene applications. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

A device and method for the formation of customized footwear insoles and pads is provided. The system employs computers operatively engaged to scanning components to produce individual electronic footprints of a foot of a wearer. Software operating to the tasks of employing the digital data from one or a plurality of electronic footprints, correlating to scans of the feet of a footwear user, will customize an insole or pad for positioning in the footwear to more comfortably support the foot therein.

The invention discloses a field shoeprint barefoot footprint generation method and device and computer equipment. The method comprises the following steps: acquiring a shoeprint image; inputting the shoeprint image into a footprint generation model to carry out target barefoot footprint generation and authenticity generation so as to obtain a generation result; wherein the footprint generation model extracts local and global features of shoeprints, roughly extracts a barefoot footprint area, and realizes target barefoot footprint generation by means of a generator and discriminator structure; and outputting the generation result. By implementing the method, the limitation that the prior art is difficult to be directly applied to the conversion between the field shoeprint footprint and the barefoot footprint with large difference can be overcome, and the accuracy and practicability of footprint recognition are improved.

The invention discloses a barefoot footprint cross-modal retrieval method and a barefoot footprint cross-modal retrieval system based on flexible alignment. The method comprises the following steps: acquiring an on-site barefoot image and an optical barefoot image; inputting the field barefoot image and the optical barefoot image into a flexible alignment network oriented to cross-modal barefoot footprint retrieval to perform barefoot footprint retrieval so as to obtain a classification result; wherein the flexible alignment network is used for respectively processing different modal information of the barefoot footprint image and fusing the characteristics of the barefoot footprint image and the barefoot footprint image to optimize global context information modeling so as to generate a classification score for judging whether the footprint image belongs to the same individual or not; and outputting the classification result. By implementing the method provided by the invention, a retrieval model which is more robust and has good structural adaptability can be realized, the problems of significant modal difference and deformation inconsistency between the footprint of an actual crime scene and the standard footprint of a laboratory are specially solved, and the accuracy and reliability of footprint retrieval are improved.

1. Name of the designed product: wine box (dinosaur trace of remote ancient landform). 2. Use of the designed product: for product packaging. 3. Design points of the designed product: combination of shape and pattern. 4. Picture or photo best indicating the design points: design 1 perspective view. 5. Design 1 is designated as the basic design.

1. The name of the design product: temperature sensing foot print detection device. 2. The use of the design product: for the tester to stand barefoot on the temperature sensing foot print plate, showing the collection of the tester's foot print. 3. The design points of the design product: in the shape, pattern and color of the product. 4. The picture or photo that best shows the design points: design 1 perspective view. 5. The design claimed contains color. 6. Design 1 is designated as the basic design.

The invention relates to the technical field of ecological environment monitoring, in particular to a correlation analysis method and device based on carbon footprint data and species inhabitation data. The method comprises the following steps: acquiring species inhabitation data and carbon footprint data for a target area; utilizing the species inhabitation data and the carbon footprint data to construct a collaborative feature matrix; based on the collaborative feature matrix, calculating a habitat quality evaluation index for representing the comprehensive state of the habitat of the species and a net carbon footprint index for representing the net carbon exchange capacity of the target area; and through the habitat quality evaluation index and the net carbon footprint index, establishing a quantitative relationship between the species habitat data and the carbon footprint data in the ecological environment of the target area. Compared with the prior art, the internal relation between the data is mined through correlation analysis of the two kinds of data, and the quantitative relation between habitat evaluation and the carbon footprint is established. The problem of data splitting in traditional monitoring is solved, multi-dimensional and deeper comprehensive evaluation of the ecological environment is realized, and the comprehensiveness and accuracy of environment evaluation are improved.

The application relates to the field of footprint identification, and discloses a barefoot footprint comparison method and device based on deep learning. The method comprises the following steps: obtaining a to-be-identified barefoot footprint, and determining a toe region and a sole region in the to-be-identified barefoot footprint through a footprint segmentation unit; determining a plurality of intermediate target barefoot footprint traces corresponding to the to-be-identified barefoot footprint in a barefoot footprint trace database according to the toe region through a toe region identification unit; determining a final target barefoot footprint trace corresponding to the to-be-identified barefoot footprint in the plurality of intermediate target barefoot footprint traces according to the sole region through a sole region identification unit, and taking the final target barefoot footprint trace as an identification search result; wherein the toe region identification unit is obtained through training of toe region data sets of a plurality of barefoot footprint traces. The application can improve the speed of footprint identification search in the barefoot footprint trace.