English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Many recent works have reconstructed distinctive 3D face shapes byaggregating shape parameters of the same identity and separating those ofdifferent people based on parametric models (e.g., 3D morphable models(3DMMs)). However, despite the high accuracy in the face recognition task usingthese shape parameters, the visual discrimination of face shapes reconstructedfrom those parameters is unsatisfactory. The following research question hasnot been answered in previous works: Do discriminative shape parametersguarantee visual discrimination in represented 3D face shapes? This paperanalyzes the relationship between shape parameters and reconstructed shapegeometry and proposes a novel shape identity-aware regularization(SIR) loss forshape parameters, aiming at increasing discriminability in both the shapeparameter and shape geometry domains. Moreover, to cope with the lack oftraining data containing both landmark and identity annotations, we propose anetwork structure and an associated training strategy to leverage mixed datacontaining either identity or landmark labels. We compare our method withexisting methods in terms of the reconstruction error, visualdistinguishability, and face recognition accuracy of the shape parameters.Experimental results show that our method outperforms the state-of-the-artmethods.

Reconstructing Recognizable 3D Face Shapes based on 3D Morphable Models