Robust Image Alignment

Image alignment in neitra 3D pro is the process of identifying the correct position and orientation of camera in a computer simulated 3D scene. This process is based on three core technologies – feature detection, robust matching of features and finally calibration using bundle adjustment. Image Alignment in neitra 3D pro focuses on two key performance parameters, accuracy (correct orientation of image, which gives up to 1 to 2 pixels of back projection error) and robustness (which allows alignments possible at wide angles). The image alignment technology developed by Triayaam Vision Labs is powerful enough to align images in 90% of cases* giving you full freedom.
The core advantage this technology possesses over conventional pattern based image alignment techniques is that in this, you do not have to add any external patterns to the real world scene to make the calibration possible. This gives the user full freedom. Now capture anything anywhere! Creating amazing high quality 3D assets is bound only by your imagination.

Simplified Auto Segmentation

Neitra 3D pro incorporates state-of-the-art Two Stage Reconstruction technology. We chose and implemented this design of technology as it will assures a watertight and detailed 3D model reconstruction from set of images. At first stage, a coarse model is generated with right number of polygon count, which is input for second stage where the model is refined generating details on it.
First stage of reconstruction uses an old and promising technology hull carving. Visual hull carving uses series of segmented foregrounds from the image-set for creating coarse 3D model. We wanted to make this old technique more interesting by making segmentation, an intelligent process. We developed the Auto-Image Segmentation process for this purpose. Auto-Image Segmentation can flow the segmentation information from one image to another and thus making segmentation an automated process. In most cases in Neitra, user need to mark only one image and ends up with full series of segmented images.

High Quality Refined Models

The second stage of Two Stage Reconstruction technology focuses on generating highly detailed 3D Models. This stage is an automated iterative process. Each iteration refines the surface of the coarse model towards the surface of the real object, thus adding details and accuracy to the model. The polygons of the surface of the 3D models are adaptively subdivided during each iteration. The level of adaptive subdivision of the surface are computed automatically. This is also the deciding factor in the level of details generated in the 3D model. Finer details require higher level of subdivision while smoothness of surface require lower subdivision surface. Neitra 3D Pro automatically computes the optimum level for sub division of surface necessary for generating the best quality 3D models.
Neitra 3D Pro also provides the option to stop the refine process at any point in between and edit the model using 3D edit tools. These tools, lets you control the reconstruction process. Neitra 3D pro allows user go forth and back between 2D masking and refine stages to achieve completeness in reconstruction.

Easy to use : Edit Filters