Published to accompany an exhibition on view at the Yale Center for British Art, New Haven, Conn., Sept. 16-Jan. 2, 2010.

Mention the words ?Seeing Eye,” and most people will associate them with guide dogs for the blind and partially sighted. Mention the name ?Dorothy Harrison Eustis,” and most people will not recognize it, even though she is the woman responsible for founding The Seeing Eye, the first guide dog school in the United States. Since its inception eighty years ago, The Seeing Eye has trained thousands of people who are visually impaired to use guide dogs. The success of the program has spawned guide dog schools across the country and around the world, and the concept has been further expanded to include service dogs for people with other kinds of disabilities. Drawing on correspondence, private papers, and newspaper accounts of the day, Miriam Ascarelli chronicles the life of Dorothy Harrison Eustis revealing both a driven woman and a very private person who shunned media coverage of herself but actively courted it for her organization.

The Superior Colliculus: New Approaches for Studying Sensorimotor Integration discusses new experimental and theoretical approaches to investigating how the brain transforms sensory signals into the motor commands that are used to shift the direction of gaze. The material includes the potential models for sensorimotor integration in the primate bra

The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022. The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; optimization methods; Part II: applications of computer vision, vision for X; computational photography, sensing, and display; Part III: low-level vision, image processing; Part IV: face and gesture; pose and action; video analysis and event recognition; vision and language; biometrics; Part V: recognition: feature detection, indexing, matching, and shape representation; datasets and performance analysis; Part VI: biomedical image analysis; deep learning for computer vision; Part VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods.