Abstract: A shooting method includes the following steps. A shooting page including a control region and a main display region is displayed, where the control region is used to display at least two effect controls, a more effect control, and a main shooting control, the at least two effect controls correspond to recommended effects according to a preset recommendation parameter; in response to a target slide operation in the main display region, the controls is moved along a sliding direction of the target slide operation, a target control is determined according to the target slide operation; in response to the target control being one effect control, a preview of a target effect corresponding to the target control is displayed on the shooting page, and capturing is performed using the target effect in response to a first trigger operation on the trigger position.

Abstract: The present disclosure is related to systems and methods for positioning. The method includes obtaining estimated pose data of a subject. The method also includes generating a local map associated with the estimated pose data. The method also includes obtaining, based on the estimated pose data, a reference map. The method also includes correlating the local map and the reference map in a frequency domain. The method further includes determining, based on the estimated pose data and the correlation between the local map and the reference map in the frequency domain, target pose data of the subject.

Abstract: Techniques and apparatuses are described that implement a smart-device-based radar system capable of detecting user gestures in the presence of saturation. In particular, a radar system employs machine learning to compensate for distortions resulting from saturation. This enables gesture recognition to be performed while the radar system's receiver is saturated. As such, the radar system can forgo integrating an automatic gain control circuit to prevent the receiver from becoming saturated. Furthermore, the radar system can operate with higher gains to increasing sensitivity without adding additional antennas. By using machine learning, the radar system's dynamic range increases, which enables the radar system to detect a variety of different types of gestures having small or large radar cross sections, and performed at various distances from the radar system.

Abstract: A method for accelerated detection of objects in videos, a server, and a non-transitory computer readable storage medium are provided. The method realizes the detection of a target object in a video by dividing all frame images in video images into preset groups of frame images, each group of frame images including a keyframe image and a non-keyframe image, using a detection box of a target in the keyframe image to generate a preselection box in the non-keyframe image, and detecting the location of the target in the preselection box.

Abstract: Provided are systems and methods for processing 360-degree video data. In various implementations, a spherical representation of a 360-degree video frame can be segmented into a top region, a bottom region, and a middle region. The middle region can be mapped into one or more rectangular areas of an output video frame. The top region can be mapped into a first rectangular area of the output video frame using a mapping that converts a square to a circle, such that pixels in the circular top region are expanded to fill the first rectangular region. The bottom region can be mapped into a second rectangular area of the output video frame such that pixels in the circular bottom region are expanded to fill the second rectangular region.

Abstract: Embodiments of the present disclosure provide an image processing method, an apparatus, an electronic device, and a computer-readable storage medium, relating to the technical field of displays. The method comprises steps of: acquiring a first image and a second image that are adjacent in time-domain; determining dynamic pixels of the second image relative to the first image; determining overdrive gain values of the dynamic pixels; and performing overdrive processing on the second image according to the overdrive gain values. In the embodiments of the present disclosure, for the dynamic pixels, overdrive processing is performed on the image according to the overdrive gain value. Thus, the overdrive effect for the dynamic region of the image is optimized, the technical effect of the overdrive is ensured, and the motion blur problem of the image is effectively improved.

Abstract: In some implementations, a service qualification system may receive, from a user device, a set of images that depict a window. The service qualification system may perform an image-based analysis of the set of images to determine a reflectivity score associated with the window. The reflectivity score may be indicative of a quality associated with a signal of the service being received through the window. The service qualification system may determine, based on the reflectivity score, a service qualification metric that is indicative of a capability of receiving the service within the unit. The service qualification system may perform an action associated with the service qualification metric.

Abstract: A technology is described for thermal imaging. In one example of the technology, a plurality of thermal sensors in a non-collinear configuration are used to simultaneously image scene regions of an ambient environment. Series of synchronized thermal image sets may be obtained from the thermal sensors, and virtual-stereo pairs of image tiles may be defined by selecting image tiles from a plurality of undetermined pairs of image tiles. Thereafter, two-dimensional (2D) correlation may be performed on the virtual-stereo pairs of thermal image tiles to form 2D correlation tiles for the scene region of the ambient environment, and a depth map of the ambient environment may be generated after consolidating the 2D correlation tiles corresponding to the same environmental objects to increase contrast of objects represented in the depth map.

Abstract: In one implementation, a method of scene camera retargeting is performed by a head-mounted device (HMD) including one or more processors, non-transitory memory, a scene camera, and a display. The method includes capturing, using the scene camera, an image of a scene. The method includes determining, using the one or more processors, a depth of the scene. The method further includes transforming, using the one or more processors, the image of the scene based on the depth and a difference between a point-of-view of the scene camera and a point-of-view of a user. The method further includes displaying, on the display, the transformed image.

Abstract: A system and method are provided for obtaining a pupil response profile for a subject. The method include: obtaining scan data as frames of a pupil response over time prior to, during and after exposure to a flash of a light source; locating a candidate pupil to be measured from the scan data; image processing the scan data to obtain a set of pupil candidate measurements to generate a graph of pupil measurements against time; filtering the graph to produce a final set of pupil measurements forming a pupil response profile. The method may also include: measuring profile parameters from the pupil response profile; and using the profile parameters to determine aspects of the pupil response.

Abstract: The disclosure is inputting a first image captured an image of an authentication target; inputting a second image captured an image of a right eye or a left eye of the target; determining whether the second image is of a left eye or a right eye of the target based on information including the first image, and outputting a determination result as left/right information in association with the second image; detecting an overlap between a region including the second image and a predetermined region in the first image; calculating a verification score by comparing characteristic information that are related to the left/right information with iris characteristic information calculated from the second image, and calculating a first weighted verification score obtained by weighting the verification score with a detection result; and authenticating a target in the second image based on the first weighted verification score, and outputting an authentication result.

Abstract: A method includes determining a plurality of features of a first original image of a first product that are expected to be different for one or more products to be produced via manufacturing parameters of a manufacturing process compared to the first product. The method further includes adjusting one or more of the plurality of features of the first original image to generate a first synthetic image. The method further includes providing a plurality of images including the first original image and the first synthetic image to train a machine learning model to generate a trained machine learning model configured to generate output associated with updating the manufacturing parameters of the manufacturing process.

Abstract: An intensity transform augmentation system is operable to receive a training set of medical scans. Random intensity transformation function parameters are generated for each medical scan of the training set of medical scans. A plurality of augmented images are generated, where each of the plurality of augmented images is generated by performing a intensity transformation function on one of the training set of medical scans by utilizing the random intensity transform parameters generated for the one of the training set of medical scan. A computer vision model is generated by performing a training step on the plurality of augmented images. A new medical scan is received via the receiver. Inference data is generated by performing an inference function that utilizes the computer vision model on the new medical scan. The inference data is transmitted to a client device for display via a display device.

Abstract: Systems and techniques for a design-aware image search are described. The design-aware image search techniques described herein capture a design on an item to determine additional items with similar or matching designs. An image of the item is used to create an edge image of a design, and shape descriptors are generated describing features of the edge image. These shape descriptors are compared to shape descriptors associated with other images to locate images that have similar or matching designs as compared with the input image. The design-aware image search system may uses these relationships to generate a search result with images or products having a design similar to the design on the input image.

Abstract: Techniques and apparatuses are described that implement a smart-device-based radar system capable of detecting user gestures in the presence of saturation. In particular, a radar system 104 employs machine learning to compensate for distortions resulting from saturation. This enables gesture recognition to be performed while the radar system 104's receiver 304 is saturated. As such, the radar system 104 can forgo integrating an automatic gain control circuit to prevent the receiver 304 from becoming saturated. Furthermore, the radar system 104 can operate with higher gains to increasing sensitivity without adding additional antennas. By using machine learning, the radar system 104's dynamic range increases, which enables the radar system 104 to detect a variety of different types of gestures having small or large radar cross sections, and performed at various distances from the radar system 104.

Abstract: Techniques for image processing and transformation are provided. A plurality of images and a plurality of maps are received, and a system of neural networks is trained based on the plurality of images and the plurality of maps. A first image is received, and a first map is generated by processing the first image using the system of neural networks.

Abstract: An image processing device includes a processor; and a memory to store the program which performs processing including: measuring a first texture amount indicating luminance variation in image regions, based on the image regions obtained by dividing the captured image and previously determining an image processing target region based on the first texture amount; judging whether the image processing on a current captured image is necessary based on luminance of the image processing target region in the current captured image; calculating a second texture amount indicating luminance variation in the image processing target region, and judging whether the image processing should be performed on the image processing target region or not based on the second texture amount; and performing the image processing on the image processing target region on which the judging based on the second texture amount is that the image processing should be performed.

Abstract: A method of warping data includes the steps of providing a set of target coordinates x?N, calculating, by a warping engine, source coordinates x??N for the target coordinates x?N, requesting, by the warping engine, data values for a plurality of source coordinates from a cache, and computing, by the warping engine, interpolated data values for each x in a neighborhood of x? from the data values of the source coordinates returned from the cache. Requesting data values from the cache includes notifying the cache that data values for a particular group of source points will be needed for computing interpolated data values for a particular target point, and fetching the data values for the particular group of source points when they are need for computing interpolated data values for the particular target point.

Abstract: A method can include accessing a trained machine model as trained to analyze digital seismic data of a region with respect to a structural feature of a geologic region; analyzing at least a portion of the digital seismic data using the trained machine model to generate results; and outputting the results as indicators of spatial locations of the structural feature of the geologic region.

Abstract: A method for identifying a dendritic pore is provided. Line and pore images are obtained from a digital image of a subject's skin. These line and pore images are overlaid to identify those pores having at least one line intersecting the pore as dendritic pores.

Abstract: Examples of the disclosure describe systems and methods for recording augmented reality and mixed reality experiences. In an example method, an image of a real environment is received via a camera of a wearable head device. A pose of the wearable head device is estimated, and a first image of a virtual environment is generated based on the pose. A second image of the virtual environment is generated based on the pose, wherein the second image of the virtual environment comprises a larger field of view than a field of view of the first image of the virtual environment. A combined image is generated based on the second image of the virtual environment and the image of the real environment.

Abstract: A client application associated with a content sharing network can include functionality for discovering content (e.g., text, image, audio, video, and other multimedia data) of the network. The content discovery functionality can be graphically represented as a feed with the top-ranking content (e.g., most relevant content, most recently created content, content created in a geographic location most proximate to a user, etc.) displayed at the top of the feed and lower-ranking content displayed at the bottom of the feed. The feed can re-order itself based on user interactions, content characteristics, system trends, and the like. A user can navigate to various portions of the feed, and the feed can continuously refresh itself to give the user an impression of an infinite feed of fresh, relevant content.

Abstract: The present disclosure describes a method and apparatus for displaying a face of a virtual role, a terminal, and a storage medium, and relates to the field of human-machine interaction. The method includes obtaining a face parameter corresponding to a user face, the face parameter being used for indicating a facial feature of a face region of the user face. The method also includes determining a warping control parameter according to the face parameter, the warping control parameter being used for controlling a warping degree of a face region of a virtual role; generating a virtual role face image according to the warping control parameter and a warping image set, the warping image set comprising a basic face image and at least one basic warping face image of the virtual role, and different basic warping face images corresponding to different face warping manners; and displaying the virtual role face image.

Abstract: Systems and methods in accordance with embodiments of the invention are disclosed that use super-resolution (SR) processes to use information from a plurality of low resolution (LR) images captured by an array camera to produce a synthesized higher resolution image. One embodiment includes obtaining input images using the plurality of imagers, using a microprocessor to determine an initial estimate of at least a portion of a high resolution image using a plurality of pixels from the input images, and using a microprocessor to determine a high resolution image that when mapped through the forward imaging transformation matches the input images to within at least one predetermined criterion using the initial estimate of at least a portion of the high resolution image.

Abstract: The present invention provides an object position determination circuit including a receiving circuit and a detecting circuit. In operations of the object position determination circuit, the receiving circuit receives an image signal; and the detecting circuit detects a position of an object in an Nth frame of the image signal, determines a partial region within an (N+M)th frame of the image signal according to the position of the object in the Nth frame, and only detects the partial region within the (N+M)th frame to determine a position of the object in the (N+M)th frame, wherein N and M are positive integers.

Abstract: The display technologies relate to a method and computer-readable medium for displaying image and to a display device configured to perform the method for displaying image. The image display method includes acquiring an image for display in an nth frame on a display screen; detecting a first sub-image and a second sub-image within the image, a resolution of the first sub-image being higher than a resolution of the second sub-image; comparing the first sub-image in the nth frame with a corresponding sub-image in an (n?1)th frame; and refreshing a localized area of the display screen positionally corresponding to the first sub-image to display an interpolated sub-image in the localized area.

Abstract: An image stitching apparatus and an operation method thereof are provided. The image stitching apparatus includes a stitching distance determining circuit and a stitching circuit. The stitching distance determining circuit dynamically determines the stitching distance according to the reference information related to the plurality of original images. The stitching circuit is coupled to the stitching distance determining circuit to receive the stitching distance. The stitching circuit image stitches the original images using a stitching distance to generate a stitched image.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for semantically-consistent image style transfer. One of the methods includes: receiving an input source domain image; processing the source domain image using one or more source domain low-level encoder neural network layers to generate a low-level representation; processing the low-level representation using one more high-level encoder neural network layers to generate an embedding of the input source domain image; processing the embedding using one or more high-level decoder neural network layers to generate a high-level feature representation of features of the input source domain image; and processing the high-level feature representation of the features of the input source domain image using one or more target domain low-level decoder neural network layers to generate an output target domain image that is from the target domain but that has similar semantics to the input source domain image.

Abstract: A method and device for face recognition, a storage medium, and an electronic device are provided. The method includes the following. Face data to-be-tested is obtained. A first derived face data set related to the face data to-be-tested is generated according to the face data to-be-tested. For each of multiple derived face data in the first derived face data set, perform age determination, and generate an age distribution interval corresponding to the first derived face data set. Whether the age distribution interval matches a first reference age interval is determined. Upon determining that the age distribution interval matches the first reference age interval, age data corresponding to the face data to-be-tested is obtained according to the age distribution interval.

Abstract: The disclosure is inputting a first image captured an image of an authentication target; inputting a second image captured an image of a right eye or a left eye of the target; determining whether the second image is of a left eye or a right eye of the target based on information including the first image, and outputting a determination result as left/right information in association with the second image; detecting an overlap between a region including the second image and a predetermined region in the first image; calculating a verification score by comparing characteristic information that are related to the left/right information with iris characteristic information calculated from the second image, and calculating a first weighted verification score obtained by weighting the verification score with a detection result; and authenticating a target in the second image based on the first weighted verification score, and outputting an authentication result.

Abstract: One or more embodiments of an image enhancement system enable a computing device to generate an enhanced digital image. In particular, a computing device can enhance a digital image including, for example, a photograph of a whiteboard, document, chalkboard, or other object having a uniform background. The computing device can determine modifications to apply to the digital image by minimizing an energy heuristic that both causes pixels of the digital image to change to a uniform color (e.g., white) and preserves gradients from the digital image. The computing device can further generate an enhanced digital image by applying the determined modifications to the digital image.

Abstract: The present disclosure directs to a system and method for CT imaging. The method may include acquiring computed tomography (CT) data, wherein the CT data is generated by scanning a subject using a CT scanner, the CT scanner including a focal spot and a detector, and the detector including a plurality of detector units. The method may also include obtaining a forward projection model and a back projection model, wherein the forward projection model and the back projection model are associated with sizes of the detector units and a size of the focal spot of the CT scanner. The method may further include reconstructing a CT image of the subject iteratively based on the CT data, the forward projection model, and the back projection model.

Abstract: Herein are disclosed computation units for batch normalization. A computation unit may include a first circuit to traverse a batch of input elements xi having a first format, to produce a mean ?1 in the first format and a mean ?2 in a second format, the second format having more bits than the first format. The computation unit may further include a second circuit operatively coupled to the first circuit to traverse the batch of input elements xi to produce a standard deviation ? for the batch using the mean ?1 in the first format. The computation unit may also include a third circuit operatively coupled to the second circuit to traverse the batch of input elements xi to produce a normalized set of values yi using the mean ?2 in the second format and the standard deviation ?.

Abstract: A system for object detection and posture estimation based on an object-customized image feature detection algorithm according to an embodiment of the present disclosure comprises at least one or more processors; and at least one or more memories, wherein at least one application, as an application that is stored in the memory and performs object detection and posture estimation based on an object-customized image feature detection algorithm by being executed by the at least one or more processors, learns a goal object based on a plurality of image feature detection algorithms, generates an algorithm list that includes evaluation of the plurality of image feature detection algorithms for detecting the learned goal object, detects a target object corresponding to the goal object among at least one or more candidate objects within an input image based on the generated algorithm list, and performs a posture estimation process for the detected target object based on the generated algorithm list.

Abstract: A method for displaying a surround view on a single display screen is disclosed. A plurality of image frames for a particular time may be received from a corresponding plurality of cameras. A viewpoint warp map corresponding to a predetermined first virtual viewpoint may be selected, wherein the viewpoint warp map defines a source pixel location in the plurality of image frames for each output pixel location in the display screen. The warp map was predetermined offline and stored for later use. An output image is synthesized for the display screen by selecting pixel data for each pixel of the output image from the plurality of image frames in accordance with the viewpoint warp map. The synthesized image is then displayed on a display screen.

Abstract: The invention relates to computerized data processing, more particularly to methods of generating an augmented reality environment, and comprises the following steps: controlling the position of an unmanned transport vehicle having a built-in camera, determining the position coordinates of the unmanned transport vehicle, transmitting a captured camera image to a user display means for visualization, exchanging messages in real time between the user and at least one second user located within visual range of the unmanned transport vehicle and equipped with augmented reality visualization means, visualizing an image captured by a camera of the second user using augmented reality generating means of the second user, visualizing a spatial model of the user, wherein the position of the spatial model in the visualized image corresponds to the position of the unmanned transport vehicle in the captured image from the camera of the second user.

Abstract: The present disclosure provides a method for image capturing, a method for image capturing control and associated apparatuses. The method for image capturing includes: obtaining Region Of Interest (ROI) information of a target ROI corresponding to a current frame of image; buffering captured pixel data of the current frame of image; obtaining, when determining that the pixel data of the current frame of image has been buffered completely, pixel data associated with the target ROI from the buffered pixel data of the current frame of image based on the ROI information if the ROI information of the target ROI corresponding to the current frame of image can be obtained; and outputting the pixel data associated with the target ROI.

Abstract: An image processing method for a computer device. The method includes obtaining a to-be-processed image belonging to a first image category; inputting the to-be-processed image into a first stage image conversion model, to obtain a first intermediate image; and converting the first intermediate image into a second intermediate image through a second stage image conversion model. The method also includes determining a first weight matrix corresponding to the first intermediate image; determining a second weight matrix corresponding to the second intermediate image; and fusing the first intermediate image and the second intermediate image according to the corresponding first weight matrix and second weight matrix, to obtain a target image corresponding to the to-be-processed image and belonging to a second image category. A sum of the first weight matrix and the second weight matrix being a preset matrix.

Abstract: Disclosed are a display apparatus and a method of controlling the same, the display apparatus including: a video decoder configured to decode a video signal; and an artificial intelligence (AI) scaler including a plurality of filters provided to make an output of a certain filter be used as an input of another filter, and configured to control a resolution of an image by processing the decoded video signal, each of the plurality of filters being selectively turned on or off based on a control signal, the filter being turned on processing the video signal based on a parameter set by learning, and the filter being turned off bypassing and outputting the input video signal.

Abstract: An imaging apparatus includes first and second imaging devices configured to capture first and second images of a scene, respectively. The first and second images include multiple first image blocks relative to a first coordinate system and multiple second image blocks relative to a second coordinate system, respectively. The apparatus further includes a processor configured to calibrate one or more first image blocks and one or more corresponding second image blocks using the first and second coordinate systems, convert each calibrated first image block to an intensity image and a first depth map, convert each calibrated second image block to a grayscale image, and generate a second depth map associated with the second image by enhancing a resolution of the first depth map for each calibrated first image block based on calculating a relationship between the intensity image and the grayscale image for each calibrated first and second image blocks.

Abstract: The embodiments of the present disclosure disclose a display apparatus. The display apparatus includes: a display unit having a plurality of pixel units; a lens unit; and a light path adjustment unit disposed between the display unit and the lens unit and configured to adjust a light path of light emitted from at least one of the plurality of pixel units, such that the adjusted light path has a predetermined range of incident angles with respect to the lens unit.

Abstract: A scaler includes an input interface, an output Vsync pulse generating circuit and a data buffer circuit. The input interface is arranged to receive an input Vsync pulse and input image data. The output Vsync pulse generating circuit is arranged to accordingly generate a first output Vsync pulse and a first output request in response to the input Vsync pulse. The data buffer circuit is arranged to buffer the input image data and, in response to the first output request, output a first output frame according to the input image data. The output Vsync pulse generating circuit further generates a second output Vsync pulse and a second output request according to the first output Vsync pulse and a first predetermined period and in response to the second output request, the data buffer circuit further outputs a second output frame according to the input image data.

Abstract: As three-dimensional (3D) printing and additive manufacturing becomes a way for individuals and companies to distribute physical goods, there is a growing need for creators of physical goods to enable customers to customize 3D printed objects while protecting core electronic assets in the form of the files used to define and print the objects. Server-side rendering of 3D object images provides an opportunity to protect 3D object files while offering performance advantages. A scripting language may be central to delivering a seamless user experience interacting with 3D object models on client devices. Object creators and vendors may rely on the scripting language to create user interfaces for selling customizable objects. And once the user interface is developed, it may provide the basis for users accessing, viewing, manipulating, selecting materials, rendering, pricing, and printing a range of 3D objects.

Abstract: A computer-implemented method for fording depth estimation based on a real-time image recognition is provided according an embodiment of the present disclosure. In the method, a first image of a low-lying road being submerged under a bridge can be acquired. At least one second image of the low-lying road without being submerged can be determined. A fording depth of the low-lying road can be estimated based on the first image and the at least one second image.

Abstract: Method for realistic visualization of a virtual dental model in a first image of a face comprising at least an inner mouth region of the face, the inner mouth region comprising teeth (31) and a mouth cavity background, the method comprising using an inpainting algorithm to compute, based on background pixels corresponding to the mouth cavity background (35), plausible background pixels for at least a part of tooth pixels of the first image, the tooth pixels corresponding to the teeth, and to replace at least a part of the tooth pixels by plausible background pixels, at least partially removing the teeth (31) from the first image; and visualizing the first image with the at least partially removed teeth (31?), wherein the first image is overlaid with a representation (21) of the dental model.

Abstract: Techniques are disclosed for conversion of panoramas between different panoramic projections, including stereoscopic panoramic projections. The pixels of one panoramic image are mapped to the pixels of another panoramic image using ray tracing so that the images can be combined without introducing visual distortions caused by mismatches in the optics of each image. The conversion is performed using a process for mapping one or more pixels of an output image to pixels of an input image by tracing a ray between the UV coordinates corresponding to each pixel in the images. The conversion process accounts for arbitrary projections and for arbitrary stereo camera rig configurations by using metadata that describe the projection and positioning of each image being combined. The origin of each ray is offset to account for the interpupillary distance between left and right images and to account for any rotation of the scene.

Abstract: There is provided an image processing apparatus and an image processing method in which S/N can be improved. A class tap selection unit configures a class tap by selecting a pixel that is a class tap used in class classification of classifying a pixel to be processed of a first image obtained by adding a residual error of prediction encoding and a prediction image together, into any one class of a plurality of classes, from the first image. A class classification unit performs the class classification of the pixel to be processed by using the class tap, and a filter processing unit performs filter processing corresponding to class of the pixel to be processed, with respect to the first image, to generate a second image used in prediction of the prediction image. The class tap selection unit updates a tap structure of the class tap to a selected tap structure.

Abstract: Embodiments disclosed herein describe systems, methods, and products that train one or more neural networks and execute the trained neural network across various applications. The one or more neural networks are trained to optimize a loss function comprising a pixel-level comparison between the outputs generated by the neural networks and the ground truth dataset generated from a bubble view methodology or an explicit importance maps methodology. Each of these methodologies may be more efficient than and may closely approximate the more expensive but accurate human eye gaze measurements. The embodiments herein leverage an existing process for training neural networks to generate importance maps of a plurality of graphic objects to offer interactive applications for graphics designs and data visualizations.

Abstract: An object detection apparatus 100 is an apparatus for detecting an object in a fish-eye image. The object detection apparatus 100 includes a normalized image acquisition unit 10 configured to acquire a normalized image obtained by normalizing a fish-eye image in which an object appears; a position detecting unit 20 configured to detect position coordinates of the object in the normalized image; and a determination unit 30 configured to determine a positional relationship between the object and the object detection apparatus 100 using the position coordinates of the object in the normalized image.

Abstract: Systems and methods are provided for incremental 3D printing, wherein wireframes are generated and printed (scheduled for print) during the design process. In another aspect, systems and methods are provided for printing arbitrary meshes. A 3D printer system is described having, for example, five degree-of-freedom (5DOF). The 5DOF printer may be used to perform any of the methods described herein and combinations of the methods.