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...

Geotagged photos of users on social media sites provide abundant location-based data, which can be exploited for various location-based services, such as travel recommendation. In this paper, we propose a novel approach to a new application, i.e., personalized landmark recommendation based on users’ geotagged photos. We formulate the landmark recommendation task as a collaborative filtering pro...

The effect of a large stationary landmark on memory for the location of a smaller moving target was examined. Forward displacement of the target was larger when the target moved toward the landmark than when it moved away from the landmark. Target size and direction of motion also influenced displacement. When the target passed close by the landmark, forward displacement of the target was large...

When navigating by path integration, knowledge of one’s position becomes increasingly uncertain as one walks from a known location. This uncertainty decreases if one perceives a known landmark location nearby. We hypothesized that remembering landmarks might serve a similar purpose for path integration as directly perceiving them. If this is true, walking near a remembered landmark location sho...

Mobile navigation systems are important assets for travelers visiting foreign environments, as they provide instructions on how to find the way to get to a chosen destination. Research has shown that finding ones way in a foreign environment is primarily based on cues in the environment. In this paper, we propose an algorithm that generates the clearest route in terms of spatial references and ...

background evaluation of the craniofacial bones is the oldest method to measure the facial proportion ratio in orthodontics. objectives the purpose of this study was to evaluate the effect of emboss enhancement on the reliability of landmark identification in digital lateral cephalometric images. materials and methods ten digital lateral cephalograms were selected from the archive of an oral an...