2024 The 7th International Conference on Machine Vision and Applications (ICMVA 2024) was held in Singapore, during March 12-14, 2024. This conference is intended to provide a balanced introduction to machine vision. We hope that the conference results constituted significant contribution to the knowledge in these up-to-date scientific field. On behalf of the organizing committee, we appreciated all the experts and scholars from all over the world participated in this conference. Their outstanding performance inspired participants a lot. Of course, we also highly appreciate on all the participants for their efforts and time dedicated to the conference.

After several rounds of review procedure, the program committee accepted those
papers to be published in ACM proceedings with 979-8-4007-1655-3, successfully online https://dl.acm.org/doi/proceedings/10.1145/3589572, successfully indexed by EI Compendex and SCOPUS within one month after online.

Enjoy the Conference

Prof. Wolfgang Osten delivered Opening Remarks, Prof. Qian Kemao delivered Welcome Address. This conference program was highlighted by 2 Keynote Speakers: Prof. Yuan Luo delivered keynote speech Advanced Optical Systems through Flat Optics for Biomedical Applications; Prof. Yu Fu delivered keynote speech Structural Defects Localization using an LDV-enhanced Imaging Technology.

Then, several experts were invited to deliver the speeches and discussed topics around Towards Polarization Sensitive Machine Vision: Stokes Correlations for Diagnostics of Random Polarization; Deep Learning-enabled Holographic Tomography; Recent Works on the GROUND GLASS: From Encrypting to Imaging; Holographic Femtosecond Laser Processing Enhanced with Optical Interferometry, etc.

Winners of presenters

One best presentation was selected from each session, evaluated from: originality; applicability; technical Merit; qualities of PPT; English. The best one was announced at the end of each session, and the certificates were awarded to these winners by chairmen.

Session 1-Visual Based Object Recognition and Detection Technology
M028: View Stabilized Skeleton Joint Descriptor and ResNet for HAR from Skeleton Joints
L. Nirmala Devi, Osmania University, India

Session 2-Image Based Data Analysis and Application System
M069: Diffusion and Multi-Domain Adaptation Methods for Eosinophil Segmentation
Kevin Lin, University of Virginia, USA

Session 3-Intelligent Image Analysis and Methods
M039: Let's Talk About Image Quality Improvement in Underwater Images for Object Detection
Heinrich Heine University, Germany

Session 4-Image and Data Analysis Based on Machine Learning
M060: Recovering Image Information from Colored Speckle under RGB Illumination in an Imaging System
Shuang Liu, Xi’an Technological University, China