A shape measuring system includes an object detection unit attached to a work machine and configured to detect an object and output information of the object, a shape detection unit configured to output shape information representing a three-dimensional shape of the object by using the information of the object detected by the object detection unit, and an information providing unit configured to attach time information for specifying the shape information to the shape information and output the shape information.

A depth estimation method and a depth estimation apparatus of multi-view images where the method includes: taking each image among a plurality of images in a same scenario as a current image to perform the processing of: obtaining an initial depth value of each pixel in the current image; dividing the current image into a plurality of superpixels; obtaining plane parameters of the plurality of superpixels according to a predetermined constraint condition based on the initial depth values; and generating a depth value of each pixel in the superpixels based on the plane parameters of the superpixels; wherein the predetermined constraint condition includes: a co-connection constraint, which is related to a difference between depth values of adjacent points on neighboring superpixels that do not occlude each other.

A depth map generation device includes a plurality of image capture pairs, a depth map generation module, and a processor. The depth map generation module is coupled to the plurality of image capture pairs for generating a plurality of depth maps corresponding to the plurality of image capture pairs according to the image pairs captured by the plurality of image capture pairs. The processor is coupled to the depth map generation module for optionally outputting a depth map of the plurality of depth maps, or outputting a blending depth map composed of a part or all of the plurality of depth maps.

There is provided an image processing apparatus including a distance information generation portion configured to generate first distance information about an object to be measured based on a phase difference between images provided by a plurality of first cameras having a first base length, and generate second distance information about the object to be measured based on a phase difference between images provided by a plurality of second cameras having a second base length that is different from the first base length; and a distance extraction portion configured to extract distance information from an imaging position and the object to be measured based on the first distance information and the second distance information.

Provided is an image capture device capable of achieving both high resolution of images and high frame rate. An image capture device 10 takes images and outputs image data, and includes region of interest compression means 11 for performing lossy compression processing on pixel data of a region of interest and outputting the pixel data.

The present disclosure provides a depth map generation apparatus, including a camera assembly with at least three cameras, an operation mode determination module and a depth map generation module. The camera assembly with at least three cameras may a first camera, a second camera and a third camera that are sequentially aligned on a same axis. The operation mode determination module may be configured to determine an operation mode of the camera assembly. The operation mode includes at least: a first mode using images of non-adjacent cameras, and a second mode using images of adjacent cameras. Further, the depth map generation module may be configured to generate depth maps according to the determined operation mode.

The pose of an object may be estimated based on fiducial points identified in a visual representation of the object. Each fiducial point may correspond with a component of the object, and may be associated with a first location in an image of the object and a second location in a 3D coordinate pace. A 3D skeleton of the object may be determined by connecting the locations in the 3D space, and the object's pose may be determined based on the 3D skeleton.

Systems and methods for storing images synthesized from light field image data and metadata describing the images in electronic files in accordance with embodiments of the invention are disclosed. One embodiment includes a processor and memory containing an encoding application and light field image data, where the light field image data comprises a plurality of low resolution images of a scene captured from different viewpoints. In addition, the encoding application configures the processor to synthesize a higher resolution image of the scene from a reference viewpoint using the low resolution images, where synthesizing the higher resolution image involves creating a depth map that specifies depths from the reference viewpoint for pixels in the higher resolution image; encode the higher resolution image; and create a light field image file including the encoded image, the low resolution images, and metadata including the depth map.

Systems and methods in accordance with embodiments of the invention are configured to render images using light field image files containing an image synthesized from light field image data and metadata describing the image that includes a depth map. One embodiment of the invention includes a processor and memory containing a rendering application and a light field image file including an encoded image, a set of low resolution images, and metadata describing the encoded image, where the metadata comprises a depth map that specifies depths from the reference viewpoint for pixels in the encoded image. In addition, the rendering application configures the processor to: locate the encoded image within the light field image file; decode the encoded image; locate the metadata within the light field image file; and post process the decoded image by modifying the pixels based on the depths indicated within the depth map and the set of low resolution images to create a rendered image.

A system for measuring object points on a three-dimensional object using a planar array of a multi-camera group, and a measuring method, are provided. The system is useful in the field of optical measuring technologies. The method includes establishing a measuring system of at least one four-camera group wherein digital cameras form a 22 array; matching an image object point acquired by the camera group; upon matched object point image coordinates, calculating coordinates of spatial locations of respective object points; upon coordinates of the spatial locations, calculating other three-dimensional dimensions of the measured object to be specially measured to form three-dimensional point clouds and establish a three-dimensional point clouds graph for performing three-dimensional stereoscopic reproduction. Here, full matching is performed for all measured points of the measured object by directly translating, superimposing, and comparing, point-by-point, the pixel points of measured images in X and Y-axes directions. In this way a three-dimensional object may be reproduced.