Patterning device modulates a light beam intensity distribution according to two-gradation first image data having a first number of pixels. Processing device calculates a correlation between detection intensity b based on output of photodetector and m-gradation (m≥2) random second image data having a second number of pixels smaller than the first number, to generate a reconstructed image G(x,y) of an object. When the first and second image data are scaled to the same size and overlapped, each pixel is associated with a pixel group including multiple pixels of the overlapping first image data. With the normalized gradation value of a given pixel as k, the number of pixels included in the pixel group as L, and the number of pixels having a value of 1 in the pixel group as l, l=L×k holds true.

A method of real-time plant selection and removal from a plant field including capturing a first image of a first section of the plant field, segmenting the first image into regions indicative of individual plants within the first section, selecting the optimal plants for retention from the first image based on the first image and the previously thinned plant field sections, sending instructions to the plant removal mechanism for removal of the plants corresponding to the unselected regions of the first image from the second section before the machine passes the unselected regions, and repeating the aforementioned steps for a second section of the plant field adjacent the first section in the direction of machine travel.

Technology for devices, systems, techniques and processes to provide anti-spoofing features for facial identification with enhanced security against facial spoofing devices or technique by using optical sensing and other sensing mechanisms to explore certain unique characteristics of a face of a live person that lack in most spoofing devices made of artificial materials or are difficult to replicate, including optical sensing based on unique optical absorption or reflection features of biological parts of a person's face.

An image detection scanning method for object surface defects and an image detection scanning system thereof are provided. The method includes capturing a test image according to test light, determining whether the test image is normal, generating a coincidence signal if the test image is normal, coinciding the object with the detection position according to the coincidence signal, sequentially moving one of a plurality of areas on a surface of the object to the detection position, providing detection light facing the detection position, the detection light illuminating the detection position with a light incident angle of less than or equal to 90 degrees relative to a normal line of the area located at the detection position, and capturing a detection image of each of the areas sequentially located at the detection position according to the detection light after the object is coincided with the detection position.

A near-eye-display (NED) includes a tracking system and a waveguide assembly. The waveguide assembly includes an infrared (IR) light source and an output waveguide. The output waveguide includes at least a decoupling element that outcouples the IR light emitted by the IR light source to form the structured light pattern. The structured light pattern is projected toward one or more regions of a user's face, for example, the user's eyes. The structured light pattern is reflected off the one or more regions of the user's face and captured by the tracking system. The tracking system can determine tracking information such as eye tracking information as well as face tracking information based on the captured reflected structured light pattern.

A fingerprint recognition device is provided. The fingerprint recognition device includes a fingerprint sensing circuit and an image processing circuit. The fingerprint sensing circuit is configured to perform a first fingerprint sensing operation to obtain a first fingerprint image. The image processing circuit is coupled to the fingerprint sensing circuit and configured to generate a de-moire fingerprint image according to a moire pattern image and the first fingerprint image and perform a fingerprint recognition process according to the de-moire fingerprint image.

A fingerprint recognition device is provided. The fingerprint recognition device includes a fingerprint sensing circuit and an image processing circuit. The fingerprint sensing circuit is configured to perform a first fingerprint sensing operation to obtain a first fingerprint image. The image processing circuit is coupled to the fingerprint sensing circuit and configured to generate a de-moire fingerprint image according to a moire pattern image and the first fingerprint image and perform a fingerprint recognition process according to the de-moire fingerprint image.

The present invention relates to an information processing device used in an image capture device that illuminates an object with an illuminating unit and images light reflected from the object as a reflection image with an imaging unit. The information processing device includes an irradiation angle determining unit configured to determine an irradiation angle when the illuminating unit illuminates the object based on a tilt statistic that is a value corresponding to tilt distribution of irregularities formed on the surface of the object.

A vision based light detection and ranging (LIDAR) system captures images including a targeted object and identifies the targeted object using an object recognition model. To identify the targeted object, the vision based LIDAR system determines a type of object and pixel locations or a boundary box associated with the targeted object. Based on the identification, the vision based LIDAR system directs a tracking beam onto one or more spots on the targeted object and detects distances to the one or more spots. The vision based LIDAR system updates the identification of the targeted object based on the one or more determined distances.