A fingerprint sensor includes four transistors and a photodetector. The first transistor connects a second node with a third node based on a voltage of a first node, where the first node corresponding to a first electrode of the photodetector. The second transistor connects the second node with a read-out line based on a scan signal. The third transistor supplies a reset voltage to the first node based on a first reset signal. The fourth transistor connects the first node with the second node based on a second reset signal.

A fingerprint sensing module has a fingerprint sensor and a cover. The main color layer and the pattern layer are arranged between the cover and the fingerprint sensor. The pattern layer constitutes a predetermined pattern that is used to present the pattern of the button. The both sides of the main color layer are flush with both sides of the pattern layer, so that the capacitance variations in the corresponding pattern layer and the main color layer pass through the medium with the same thickness, and have an approximate capacitance variation mode. Thus, the sensed fingerprint image truly reflect the detected fingerprint image without being affected by the preset pattern, and a pattern layer with a certain thickness is used to enhance the color saturation presented by the predetermined pattern.

An image sensor, a fingerprint detection apparatus, and an electronic device are provided. The image sensor includes a pixel circuit array, wherein each pixel circuit is configured to generate an output signal according to a received light signal; and an output circuit is configured to simultaneously receive output signals of a plurality of pixel circuits in the pixel circuit array, and output a signal average value of the output signals of the plurality of pixel circuits. The image sensor has a small area and power consumption.

Methods and systems for developing a sizing system through categorization and selection of prototypes, which can be regarded as the most appropriate fit model, is described. Once categorized and prototypes are selected, recommendations for the sizing of a target body part may be issued.

Shape measurement of a specular object even in the presence of multiple intra-object reflections such as those at concave regions of the object. Silhouettes of the object are extracted, by positioning the object between a camera and a background. A visual hull of the object is reconstructed based on the extracted silhouettes, such as by image capture of shadows of the object projected onto a screen, and image capture of reflections by the surface of the object of coded patterns onto the screen. The visual hull is used to distinguish between direct (single) reflections of the coded patterns at the surface of the object and multiple reflections. Only the direct (single) reflections are used to triangulate camera rays and light rays onto the surface of the object, with multiple reflections being excluded. The 3D surface shape may be derived by voxel carving of the visual hull, in which voxels along the light path of direct reflections are eliminated. For surface reconstruction of heterogeneous objects, which exhibit both diffuse and specular reflectivity, variations in the polarization state of polarized light may be used to separate between a diffuse component of reflection and a specular component.

A gaze tracking system includes a contact lens, a photodetector element, a light conditioning element and electronics. The contact lens includes a fiducial having a position. The photodetector element receives a light signal from the fiducial and provides a photodetector output signal. The light signal provides a light intensity pattern at the photodetector. The optical conditioning element receives the light signal and provides a variation in the light intensity pattern on the photodetector in response to changes in the position of the fiducial. And the electronics process the photodetector output signal to calculate the position of the fiducial. A method includes detecting a light signal from a fiducial included in a contact lens, and tracking the contact lens by analyzing the light signal.

The iris recognition device includes an iris camera module used for collecting iris characteristics of a user, and at least one fill light component used for providing a supplementary light source for the iris camera module. When the iris recognition device is used for collecting the iris characteristics of the user, the supplementary light source provided by the fill light component reduces reflective spots on the iris or make reflective spots in areas other than iris such as sclera and pupil, thereby improving precision of the collected iris characteristics of the user.

The iris recognition device includes an iris camera module used for collecting iris characteristics of a user, and at least one fill light component used for providing a supplementary light source for the iris camera module. When the iris recognition device is used for collecting the iris characteristics of the user, the supplementary light source provided by the fill light component reduces reflective spots on the iris or make reflective spots in areas other than iris such as sclera and pupil, thereby improving precision of the collected iris characteristics of the user.

According to an embodiment, an image processing method is implemented in an imaging device that includes a microlens array including microlenses, a main lens configured to guide light from a photographic subject to the microlens array, and an image sensor configured to receive the light after passing through the main lens and the microlens array. The method includes: obtaining an image captured by the image sensor; setting, according to an image height, an arrangement of a microlens image of interest and comparison-target microlens images from among microlens images that are included in the image and that are formed by the microlenses; detecting an amount of image shift between the microlens image of interest and each of the comparison-target microlens images by comparing the microlens image of interest with the comparison-target microlens images; and calculating a distance corresponding to the microlens image of interest using the amounts of image shift.

An image processing system is designed to generate a canvas view that has smooth transition between binocular views and monocular views. Initially, the image processing system receives top/bottom images and side images of a scene and calculates offsets to generate synthetic side images for left and right view of a user. To realize smooth transition between binocular views and monocular views, the image processing system first warps top/bottom images onto corresponding synthetic side images to generate warped top/bottom images, which realizes the smooth transition in terms of shape. The image processing system then morphs the warped top/bottom images onto the corresponding synthetic side images to generate blended images for left and right eye views with the blended images. The image processing system creates the canvas view which has smooth transition between binocular views and monocular views in terms of image shape and color based on the blended images.