Digital camera

About: Digital camera is a research topic. Over the lifetime, 12169 publications have been published within this topic receiving 137431 citations. The topic is also known as: digicam & digital still camera.

System and method for detecting and classifying objects in images, such as insects and other arthropods

Abstract: A color-based imaging system and method for the detection and classification of insects and other arthropods are described, including devices for counting arthropods and providing taxonomic capabilities useful for pest-management. Some embodiments include an image sensor (for example, a digital color camera, scanner or a video camera) with optional illumination that communicates with a computer system. Some embodiments include a color scanner connected to a computer. Sampled arthropods are put on a scanner to be counted and identified. The computer captures images from the scanner, adjusts scanner settings, and processes the acquired images to detect and identify the arthropods. Other embodiments include a trapping device and a digital camera connected by cable or wireless communications to the computer. Some devices include a processor to do the detection and identification in the field, or the field system can send the images to a centralized host computer for detection and identification.

High-end aerial digital cameras and their impact on the automation and quality of the production workflow

Abstract: The IGN digital camera project was established in the early 1990s. The first research surveys were carried out in 1996 and the digital camera was first used in production in 2000. In 2004 approximately 10 French departments (accounting for 10% of the territory) were covered with a four-head camera system and since summer 2005 all IGN imagery has been acquired digitally. Nevertheless the camera system is still evolving, with tests on new geometric configurations being continuously undertaken. The progressive integration of the system in IGN production workflows has allowed IGN to keep the system evolving in accordance with production needs. Remaining problems are due to specific camera characteristics such as CCD format, the optical quality of off-the-shelf lenses, and because some production tools are ill-adapted to digital images with a large dynamic range. However, when considering the pros and cons of integrating these images into production lines, the disadvantages are largely balanced by the numerous benefits this technology offers.

Digital color printer digital camera and digital color printer system using the same

Abstract: The present invention provides a digital camera comprising a CCD, an A/D conversion circuit for converting an image signal into a digital image data to perform a compression processing, a RAM for memorizing this compressed image data, a CPU for selecting a compressed image data associated with an image to be displayed out of the compressed image data which is memorized in the RAM, and an LCD for displaying this selected image data after a predetermined processing by the aforementioned CPU, and a communication driver for outputting the compressed image data which is memorized in the RAM to a digital color printer, and also provides a digital color printer comprising a communication driver for receiving the aforementioned compressed image data, an image memory to memorize the compressed image data received, and a CPU for subjecting this compressed data which is memorized to a predetermined processing to convert the compressed data to a data which can be printed, wherein the aforementioned CPU outputs a control signal for controlling the LCD of the digital camera by the aforementioned communication driver.

Extracting a matte of a foreground object from multiple backgrounds by triangulation

Abstract: A method for pulling (extracting) a matte of an image of a foreground object from a composite image, using a computer. An image of the foreground object is recorded over at least two backgrounds having arbitrarily different coloring. Each point of one background must have a color that is different than the color of a corresponding point in the other backgrounds. The images may be recorded with an analog camera and digitized with a scanner or recorded with a digital camera. Images should be registered during recording and digitization to eliminate misalignment of corresponding points in each recorded image. A triangulation of corresponding points of each recorded image is performed so that an alpha value (opacity) and a set of color coordinates for each point of an uncomposited image of the foreground object may be determined using either a difference of sums technique or a least squares technique. To facilitate the triangulation, images are recorded of each background alone, without the foreground object. The lighting and distances between the camera and object, and between the object and backgrounds should remain constant during the image recording process.