A method for estimating a pose of a deformable object includes: receiving, by a processor, a plurality of images depicting the deformable object from multiple viewpoints; computing, by the processor, one or more object-level correspondences and a class of the deformable object depicted in the images; loading, by the processor, a 3-D model corresponding to the class of the deformable object; aligning, by the processor, the 3-D model to the deformable object depicted in the plurality of images to compute a six-degree of freedom (6-DoF) pose of the object; and outputting, by the processor, the 3-D model and the 6-DoF pose of the object.

A presentation attack detection system includes RGB and thermal imaging cameras for acquiring images of an individual and a processor operable to determine a metric for whether the individual is a real human based on the thermal imaging and RGB image data. Related methods are also described.

An example method of infrared access, comprising, receiving a plurality of visual images, receiving a plurality of infrared images, calibrating pairs of at least one of the plurality of visual images to a respective at least one of the plurality of infrared images, determining an average temperature of the plurality of infrared images, determining a temperature of the respective calibrated pairs, and granting access if a visual image of the calibrated pair is authenticated by a facial recognition library and if the temperature of the calibrated pair is within a predefined threshold of the average temperature.

A three-dimensional shape measuring method includes: projecting a first grid pattern based on a first light and a second grid pattern based on a second light onto a target object in such a way that the first grid pattern and the second grid pattern intersect each other, the first light and the second light being lights of two colors included in three primary colors of light; picking up, by a three-color camera, an image of the first grid pattern and the second grid pattern projected on the target object, and acquiring a first picked-up image based on the first light and a second picked-up image based on the second light; and performing a phase analysis of a grid image with respect to at least one of the first picked-up image and the second picked-up image and calculating height information of the target object.

Systems for sorting seeds are disclosed, as well as batches of seeds that have been sorted using the systems.

A detector for object recognition includes an illumination source for projecting an illumination pattern on an area including at least one object; an optical sensor having a light-sensitive area and configured for determining a first image including a two-dimensional image of the area, and a second image including a plurality of reflection features generated in response to illumination, each reflection feature including a beam profile; an evaluation device for determining beam profile information for each reflection feature by analyzing their beam profiles, determining a three-dimensional image using the determined beam profile information, identifying the reflection features located inside and/or outside an image region, determining a depth level from the beam profile information of the reflection features located inside and/or outside of the image region, determining a material property of the object from the beam profile information, and determining a position and/or orientation of the object.

Disclosed herein is a detector for gesture detection including an illumination source configured for projecting an illumination pattern including a plurality of illumination features on an area including an object, where the object includes at least partially a human hand.

Disclosed herein is a detector for gesture detection including an illumination source configured for projecting an illumination pattern including a plurality of illumination features on an area including an object, where the object includes at least partially a human hand.

A system includes a dishwasher including a receptacle for an item to be washed, and a control device for carrying out a washing program, which can be parameterized by a number of different washing program parameters. An image-capturing device captures an image of the receptacle and an image analysis unit classifies the item to be washed in the receptacle in dependence on the captured image of the receptacle and to output a classification result to the control device. The control device is designed to parameterize the washing program depending on the classification result.

A system includes a dishwasher including a receptacle for an item to be washed, and a control device for carrying out a washing program, which can be parameterized by a number of different washing program parameters. An image-capturing device captures an image of the receptacle and an image analysis unit classifies the item to be washed in the receptacle in dependence on the captured image of the receptacle and to output a classification result to the control device. The control device is designed to parameterize the washing program depending on the classification result.