Keypoint matching is now “up to 90% faster on a entry-level machine”, and when other parts of the pipeline are taken into account, version 3.0 is over twice as fast as 2.7 on the data set used in 3Dflow’s tests. Updated: 3Dflow has been in touch to point out that there are comparative figures on its blog. The new pipeline is described as “powerful and faster”, although again, 3Dflow doesn’t put any figures on the speed boost. The update also adds a new global pipeline for reconstructing sparse point clouds from source images, based on 3DFLow’s 3DF Samantha technology. One interesting new feature in 3DF Zephyr 3.0 is its new photoconsistency-based mesh optimisation system, which generates crisper, more detailed meshes, at the expense of extra processing time.ģDflow doesn’t put a figure on that extra time, but the examples in its blog post show quite a significant improvement in mesh quality, particularly with source images from drone footage.įaster reconstruction of sparse point clouds, support for new laser scan data formats New photoconsistency-based optimisation creates crisper, more detailed meshes The update also adds a new pipeline for generating sparse point cloud reconstruction of scenes, and adds support for the. Scroll down for news of the 3.1, 3.2 and 3.3 updates.ģDflow has released 3DF Zephyr 3.0, the latest update to its image-based modelling software, adding a new method for generating much crisper, more detailed meshes from source images. Posted by Jim Thacker 3Dflow ships 3DF Zephyr 3.3
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