Two experiments distinguished different landmark knowledge of human adults at decision points. Participants learned a route in a virtual city once or for five times. One distinctive landmark was placed at each intersection of the route. At test, participants were released at each intersection according to the learning order and were required to determine the turning direction. At each intersect...

Daylight in classrooms is a critical factor in school design, in terms of its impact on students’ health, learning and visual performance. Providing adequate amount of evenly distributed daylight and glare prevention are important challenges in classroom design. Window configuration significantly affects the intensity and uniformity of daylight. This paper aims to investigate the effect o...

A new method named Landmark Model Matching was recently proposed for fully automatic face recognition. It was inspired by Elastic Bunch Graph Matching and Active Shape Model. Landmark Model Matching consists of four phases: creation of the landmark distribution model, face finding, landmark finding, and recognition. A drawback in Landmark Model Matching is that, in the recognition phase, the we...

Landmarks (LMs) are state features that need to be made true or tasks contained in every solution of a planning problem. They valuable source information and can exploited various ways. LMs have been used both classical hierarchical planning, but while there is much work the techniques less evolved. We introduce novel LM generation method for Hierarchical Task Network (HTN) show it sound incomp...

The success of deep learning methods relies on the availability a large number datasets with annotations; however, curating such is burdensome, especially for medical images. To relieve burden landmark detection task, we explore feasibility using only single annotated image and propose novel framework named Cascade Comparing to Detect (CC2D) one-shot detection. CC2D consists two stages: 1) Self...

The widespread use of smartphones and mobile data in the present-day society has exponentially led to interaction with physical world. increase amount image web applications makes search slow inaccurate. Landmark recognition, an retrieval task, faces its challenges due uncommon structure it possesses, such as, buildings, cathedrals, castles or museums. These are shot from various angles which o...

Three groups of Clark's nutcrackers (Nucifraga columbiana) were trained to find a goal location defined by an array of 4 landmarks that varied in goal--landmark distance. The arrays for each group differed in the distance of the closest landmark and contained goal--landmark distances that were common across groups, allowing for the examination of the effects of both relative and absolute goal--...

Mainly motivated by statistical shape analysis, this paper presents a novel landmark-based method for accurate shape correspondence, where the general goal is to align multiple shape instances by identifying a set of corresponded landmark points along those shapes. Different from previous methods, we consider both global shape deformation and local geometric features in defining the shape-corre...

The identification of landmark points of a figure in an image plays an important role in many statistical shape analysis techniques. In certain contexts, manual landmark detection is an impractical task and an automated procedure has to be employed instead. Standard corner detectors can be used for this purpose, but this approach is not always suitable, as the set of landmark points best repres...