An image coding method includes: determining a first temporal distance between a current picture to be coded and a first reference picture; determining a second temporal distance between the first reference picture and a second reference picture; judging whether or not the first temporal distance and the second temporal distance satisfy a predetermined condition, and calculating a first weight for the first reference picture and a second weight for the second reference picture based on a result of the judgment; and generating a predictive image for the current block by adding a first block included in the first reference picture and a second block included in the second reference picture, the first block being weighted by the first weight, and the second block being weighted by the second weight.

An image coding method includes: determining a first temporal distance between a current picture to be coded and a first reference picture; determining a second temporal distance between the first reference picture and a second reference picture; judging whether or not the first temporal distance and the second temporal distance satisfy a predetermined condition, and calculating a first weight for the first reference picture and a second weight for the second reference picture based on a result of the judgment; and generating a predictive image for the current block by adding a first block included in the first reference picture and a second block included in the second reference picture, the first block being weighted by the first weight, and the second block being weighted by the second weight.

An autonomous system for providing consistent images of leaves of plants is disclosed which includes a mobility system configured to move from an originating position to a position above a plant in a field, a robotic system coupled to the mobility system, the robotic system includes a manipulator providing a plurality of degrees of freedom, and an imaging system having an imaging chamber and one or more cameras, the imaging system coupled to the manipulator, the manipulator and the imaging system cooperate to position the imaging system about a leaf of a plant such that the manipulator articulates the imaging chamber substantially parallel and in line with the leaf and further moves the imaging system so that the leaf enters the imaging chamber thereby allowing the imaging system to obtain images of the leaf.

An autonomous system for providing consistent images of leaves of plants is disclosed which includes a mobility system configured to move from an originating position to a position above a plant in a field, a robotic system coupled to the mobility system, the robotic system includes a manipulator providing a plurality of degrees of freedom, and an imaging system having an imaging chamber and one or more cameras, the imaging system coupled to the manipulator, the manipulator and the imaging system cooperate to position the imaging system about a leaf of a plant such that the manipulator articulates the imaging chamber substantially parallel and in line with the leaf and further moves the imaging system so that the leaf enters the imaging chamber thereby allowing the imaging system to obtain images of the leaf.

An image processing system includes an image obtaining unit that obtains images based on capturing from plural directions by plural cameras, an information obtaining unit that obtains viewpoint information indicating a virtual viewpoint, and a generation unit configured to generate virtual viewpoint images on a basis of the obtained images and viewpoint information. The generation unit generates a first virtual viewpoint image outputted to a display apparatus that displays an image for a user to specify a virtual viewpoint and a second virtual viewpoint image outputted to an output destination different from the display apparatus by using at least one of data generated in a process for generating the first virtual viewpoint image by image processing using the plural images obtained by the image obtaining unit and the first virtual viewpoint image, the second virtual viewpoint image having a higher image quality than that of the first virtual viewpoint image.

An image from which a three-dimensional sensation that is close to the actual viewing in the natural world is acquired is generated with simple processing. A controller of an image processing device includes: an attention area specifying unit that specifies an attention area out of a plurality of areas formed by dividing an image to be displayed by a display in the vertical direction thereof on a basis of the fixation point detected by a fixation point detecting sensor; and an image processor that generates a post-processing image by performing emphasis processing for at least a part of the attention area with respect to the image.

An image from which a three-dimensional sensation that is close to the actual viewing in the natural world is acquired is generated with simple processing. A controller of an image processing device includes: an attention area specifying unit that specifies an attention area out of a plurality of areas formed by dividing an image to be displayed by a display in the vertical direction thereof on a basis of the fixation point detected by a fixation point detecting sensor; and an image processor that generates a post-processing image by performing emphasis processing for at least a part of the attention area with respect to the image.

The disclosure is related to a method for tuning a three-dimensional image, and a display apparatus thereof. In the method, an integral image composed of multiple element images and used to reproduce a three-dimensional image is obtained. The pixel values of every element image are extracted. Depending on hardware configuration, a certain range of the pixels within one-dimensional pixels of the element image are selected. The pixel values of the selected pixels are filled in the zones divided from the one-dimensional pixels in an ascending order or a descending order, and/or with continuously-duplicate values according to pixel numbers of the selected pixels. A new element image is therefore formed. By repeating these steps, a new integral image can be created. This new integral image effectively reduces the difference between the image regions and won't make a viewer see the uncomfortable three-dimensional image due to the excessively large difference.

A motion detection section 30 detects the posture of an HMD worn on the head of a user. A status determination section 32 determines a user's gaze direction and a binocular inclination angle in accordance with the detected posture of the HMD. The binocular inclination angle is the angle between a horizontal plane and a line connecting the left and right eyes of the user. An image identification section 34 determines two images for use in the generation of left- and right-eye parallax images from a plurality of viewpoint images stored in an image storage device 16 in accordance with the user's gaze direction and the binocular inclination angle. An image generation section 36 generates left- and right-eye parallax images from the two identified images. An image supply section 38 supplies the generated parallax images to the HMD.

Automated methods and systems are disclosed, including a method comprising: capturing images and three-dimensional LIDAR data of a geographic area with an image capturing device and a LIDAR system, as well as location and orientation data for each of the images corresponding to the location and orientation of the image capturing device capturing the images, the images depicting an object of interest and the three-dimensional LIDAR data including the object of interest; storing the three-dimensional LIDAR data on a non-transitory computer readable medium; analyzing the images with a computer system to determine three dimensional locations of points on the object of interest; and updating the three-dimensional LIDAR data with the three dimensional locations of points on the object of interest determined by analyzing the images to create a 3D point cloud.